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https://en.wikipedia.org/wiki/Order%20of%20Battle%3A%20Pacific | Order of Battle: Pacific is a computer wargame video game developed by The Artistocrats and published by Slitherine Software for Windows on April 30, 2015. The game became free-to-play and was renamed to Order of Battle: World War II on June 14, 2016. The Pacific campaign became downloadable content (DLC) for World War II.
Gameplay
Order of Battle: Pacific is turn-based strategic wargame played on a hex grid. It is set in the Pacific War, a theater during World War II. Two campaigns focus on the Allied and the Japanese sides. The multiplayer supports hotseat and play-by-mail methods.
Release
The development of Order of Battle: Pacific began in early 2012. macOS port was released on July 23, 2015. Xbox One port of World War II was released on June 23, 2021, and PlayStation 4 port on August 19, 2021. Several DLC packs have been released for the game.
Reception
Order of Battle: Pacific received "generally favorable reviews" reviews according to review aggregator Metacritic.
Rob Zacny of PCGamesN summarized: "Once I start a scenario, I find it almost impossible to quit until I’ve seen it through to the end. Fast, approachable, and challenging, it is everything I want in a wargame."
Luke Plunkett of Kotaku reviewed Pacific and said: "By drawing on some of the best elements of Panzer General-style games and adding some welcome new additions of its own, OoB:P is a game anyone who likes taking turns to fight the Second World War should look into." Plunkett also reviewed World War II and summarized: "Order of Battle is still a fantastic prospect for anyone down with the idea of turn-based warfare but without the inclination/time for the more serious side of the genre. This is a fast, smart strategy series, and even if some of the campaigns are a bit of a let-down, the beauty of it is that you can just ignore them and focus on the battles you want to fight."
Tim Stone of Rock Paper Shotgun wrote about World War II: "OoB:WW2 encourages pocketing with an easily understood supply mechanic, and is, for my money, a more interesting Panzer General-like than Panzer Corps in consequence. The free base game is poorly provisioned scenario-wise. However, augment it with at least one paid DLC (necessary to unlock modability) and five years' worth of Erik Nygaard's free handcrafted campaigns and you finish up with a high-quality diversion that dwarfs Panzer Corps 2 the way a Jagdtiger dwarfs a Panzer II."
References
External links
Order of Battle: Pacific at The Artistocrats
Order of Battle: World War II at The Artistocrats
2015 video games
Computer wargames
Free-to-play video games
MacOS games
Multiplayer and single-player video games
Multiplayer hotseat games
Multiplayer online games
Pacific War video games
Play-by-email video games
PlayStation 4 games
Slitherine Software games
Turn-based strategy video games
Video games developed in Belgium
Windows games
Xbox One games
The Artistocrats games |
https://en.wikipedia.org/wiki/Syntax%20and%20semantics%20of%20logic%20programming | Logic programming is a programming paradigm that includes languages based on formal logic, including Datalog and Prolog. This article describes the syntax and semantics of the purely declarative subset of these languages. Confusingly, the name "logic programming" also refers to a programming language that roughly corresponds to the declarative subset of Prolog. Unfortunately, the term must be used in both senses in this article.
Declarative logic programs consist entirely of rules of the form
H :- B1, ..., BN.
Each such rule can be read as an implication:
meaning "If each is true, then is true". Logic programs compute the set of facts that are implied by their rules.
Many implementations of Datalog, Prolog, and related languages add procedural features such as Prolog's cut operator or extra-logical features such as a foreign function interface. The formal semantics of such extensions are beyond the scope of this article.
Datalog
Datalog is the simplest widely-studied logic programming language. There are three major definitions of the semantics of Datalog, and they are all equivalent. The syntax and semantics of other logic programming languages are extensions and generalizations of those of Datalog.
Syntax
A Datalog program consists of a list of rules (Horn clauses). If constant and variable are two countable sets of constants and variables respectively and relation is a countable set of predicate symbols, then the following BNF grammar expresses the structure of a Datalog program:
<program> ::= <rule> <program> | ""
<rule> ::= <atom> ":-" <atom-list> "."
<atom> ::= <relation> "(" <term-list> ")"
<atom-list> ::= <atom> | <atom> "," <atom-list> | ""
<term> ::= <constant> | <variable>
<term-list> ::= <term> | <term> "," <term-list> | ""
Atoms are also referred to as . The atom to the left of the :- symbol is called the of the rule; the atoms to the right are the . Every Datalog program must satisfy the condition that every variable that appears in the head of a rule also appears in the body (this condition is sometimes called the ).
Rules with empty bodies are called . For example, the following rule is a fact:
r(x) :- .
Syntactic sugar
Many implementations of logic programming extend the above grammar to allow writing facts without the :-, like so:
r(x).
Many also allow writing 0-ary relations without parentheses, like so:
p :- q.
These are merely abbreviations (syntactic sugar); they have no impact on the semantics of the program.
Example
The following program computes the relation path, which is the transitive closure of the relation edge.
edge(x, y).
edge(y, z).
path(A, B) :-
edge(A, B).
path(A, C) :-
path(A, B),
edge(B, C).
Semantics
There are three widely-used approaches to the semantics of Datalog programs: model-theoretic, fixed-point, and proof-theoretic. These three approaches can be proven to be equivalent.
An atom is called if none of its subterms are variables. Intuitively, each of the semanti |
https://en.wikipedia.org/wiki/Dan%20Linstedt | Daniel Linstedt is an American data architect known for having developed the data modeling method data vault for data warehouses and business intelligence. He developed the model in the 1990s and published the first version in the early 2000s. In 2012, Data Vault 2.0 was announced and it was released in 2013. In addition to data modeling, the data vault method incorporates process design, database tuning and performance improvements for ETL/ELT, Capability Maturity Model Integration (CMMI) and agile software development.
Dan holds a Bachelor of Science in computer science from California State University, Chico. Since 2020, he has been the chief executive officer (CEO) of DataVaultAlliance Holdings LLC.
Selected works
The Business of Data Vault Modeling (2010-11-19) by author Daniel Linstedt and co-authors Kent Graziano and Hans Hultgren
Super Charge Your Data Warehouse: Invaluable Data Modeling Rules to Implement Your Data Vault (Data Warehouse Architecture Book 1) (2012-05-20) by Dan Linstedt and Kent Graziano
Building a Scalable Data Warehouse with Data Vault 2.0 (2015-09-15) by Daniel Linstedt and Michael Olschimke
See also
Data architecture
Enterprise architecture
References
Living people
Year of birth missing (living people)
People in information technology |
https://en.wikipedia.org/wiki/Virilastacus%20araucanius | Virilastacus araucanius is a burrowing species of crayfish in the family Parastacidae, endemic to Chile.
Conservation status
Virilastacus araucanius is listed as Data Deficient by the IUCN.
References
Cambaridae
Crustaceans described in 1914
Taxa named by Walter Faxon
Endemic fauna of Chile |
https://en.wikipedia.org/wiki/Andrey%20Lopatin | Andrey Lopatin () is a Russian programmer, one of the main founders of VKontakte social network and Telegram messenger, two times world champion in competitive programming, 2009 Topcoder Open winner, coach of the SPBU competitive programming team since 2006.
Early years
Andrey Lopatin was born in St Petersburg into a family of teachers. He studied at the famous Physics and Mathematics Lyceum No. 239, but the last year he finished at the school No. 238 in an experimental class where the kids were taught Latin, Ancient Greek, philosophy, oriental studies and ancient culture. In the 1990s he saw computers for the first time, he tried to code in Basic following the advice he read in a book. In the 8th grade he tried creating first programs in Assembler. He actively participated in computer science competitions, at one of which he met Nikolay Durov, Pavel Durov's elder brother.
After school, Lopatin entered SPBU where he got interested in algorithms. As a student, together with his friends Nikolay Durov and Oleg Eterevsky, Lopatin hacked into the network of ICPC organizers and sent messages to all participants, which led to disqualification of the team. In 2000 and 2001, together with Nikolai Durov, Lopatin won the ICPC. They were coached by Natalya Voyakovskaya, Senior Lecturer at the SPBU Faculty of Information Technology and Programming.
In 2009, Lopatin won the Topcoder Open.
Career
Around 2008, in the early stages of the development of VKontakte, Nikolai and Pavel Durov invited Lopatin to join the team, he worked with Nikolai on code development and system optimisation. As the company grew bigger, he took the post of vice technical director.
Lopatin began working on the Telegram protocol in 2012 and became head of the company's Russian legal entity, but was fired by Pavel Durov in October 2014.
In 2015, he headed development team at VeeRoute.
Teaching and coaching
Lopatin is hailed as one of the world's most gifted programmers. In 2006, he went to work at SPBU Mathematics and Mechanics faculty. After Voyakovskaya retired, Lopatin took over as coach of the SPBU competitive programming team and lead it to XI place at ICPC in 2008. In 2014 and 2016, his team won the championship.
In 2022, the team led by Lopatin took third place at the ICPC.
Private life
Lopatin is married, the couple has two kids.
References
1981 births
Competitive programmers
Living people
International Mathematical Olympiad participants
Telegram (software) |
https://en.wikipedia.org/wiki/Reinforcement%20learning%20from%20human%20feedback | In machine learning, reinforcement learning from human feedback (RLHF) or reinforcement learning from human preferences is a technique that trains a "reward model" directly from human feedback and uses the model as a reward function to optimize an agent's policy using reinforcement learning (RL) through an optimization algorithm like Proximal Policy Optimization. The reward model is trained in advance to the policy being optimized to predict if a given output is good (high reward) or bad (low reward). RLHF can improve the robustness and exploration of reinforcement-learning agents, especially when the reward function is sparse or noisy.
Human feedback is most commonly collected by asking humans to rank instances of the agent's behavior. These rankings can then be used to score outputs, for example with the Elo rating system. While the preference judgement is widely adopted, there are other types of human feedbacks that provide richer information, such as numerical feedback, natural language feedback, and edit rate.
The standard RLHF assumes the human preferences follow a Bradley-Terry model for pairwise comparisons (or Plackket-Luce for multi-wise comparisons) and minimizes the cross entropy loss to learn a reward model. After learning the reward model, RLHF further fine-tunes the language model according to the learned reward model, aligning the model with human preferences.
RLHF is used in tasks where it's difficult to define a clear, algorithmic solution but where humans can easily judge the quality of the model's output. For example, if the task is to generate a compelling story, humans can rate different AI-generated stories on their quality, and the model can use their feedback to improve its story generation skills.
RLHF has been applied to various domains of natural language processing, such as conversational agents, text summarization, and natural language understanding. Ordinary reinforcement learning, where agents learn from their own actions based on a "reward function", is difficult to apply to natural language processing tasks because the rewards are often not easy to define or measure, especially when dealing with complex tasks that involve human values or preferences. RLHF can enable language models to provide answers that align with these complex values, to generate more verbose responses, and to reject questions that are either inappropriate or outside the knowledge space of the model. Some examples of RLHF-trained language models are OpenAI's ChatGPT and its predecessor InstructGPT, as well as DeepMind's Sparrow.
RLHF has also been applied to other areas, such as the development of video game bots. For example, OpenAI and DeepMind trained agents to play Atari games based on human preferences. The agents achieved strong performance in many of the environments tested, often surpassing human performance.
Challenges and limitations
RLHF suffers from a number of challenges that can be broken down into problems with human fe |
https://en.wikipedia.org/wiki/LogicBlox | The LogicBlox system is a commercial, declarative, incremental logic programming language and deductive database inspired by Datalog. The LogiQL programming language extends Datalog with several features, including stratified negation, aggregation, and a module system. LogicBlox has been used to build pointer analyses for Java.
Features
Stratified negation
Aggregate functions
Evaluation using a novel worst-case optimal join algorithm.
Data constructors
Static typing
A module system
Probabilistic programming features
Incremental computation
Debugging with provenance
References
Notes
Sources
Further reading
See also
Datalog
Logic programming languages
High-level programming languages |
https://en.wikipedia.org/wiki/Codemaster | Codemaster or code master or variant, may refer to:
Code master or Master coder, a master computer programmer
Cipher master, a secret code master, a cryptographer
Codemaster, a character class from Chaotic (TV series)
Codemasters, a UK videogame company
See also
Code (disambiguation)
Master (disambiguation) |
https://en.wikipedia.org/wiki/Worst-case%20optimal%20join%20algorithm | A worst-case optimal join algorithm is an algorithm for computing relational joins with a runtime that is bounded by the worst-case output size of the join. Traditional binary join algorithms such as hash join operate over two relations at a time; joins between more than two relations are implemented by repeatedly applying binary joins. Worst-case optimal join algorithms are asymptotically faster in worst case than any join algorithm based on such iterated binary joins.
The first worst-case optimal join algorithm, generic join, was published in 2012. Worst-case optimal join algorithms have been implemented in commercial database systems, including the LogicBlox system. Worst-case optimal joins have been applied to build a worst-case optimal algorithm for e-matching.
References
Notes
Sources
External links
A Gentle(-ish) Introduction to Worst-Case Optimal Joins
Join algorithms |
https://en.wikipedia.org/wiki/Alex%20Wolf | Alex Wolf may refer to:
Alex Wolf (bobsleigh)
Alex Wolf (water polo)
See also
Alex Wolff
Alex Woolf
Alexander Wolf, German biathlete
Alexander L. Wolf, computer scientist
Alexander Wolfe (disambiguation)
Alexander Wolff
Alexander Wolff (soldier) |
https://en.wikipedia.org/wiki/After%20the%20Rain%20%28TV%20special%29 | After the Rain is a Christmas benefit concert television special by Filipino recording artist Regine Velasquez. It originally aired on December 13, 2009, in the Philippines on GMA Network. The charity event was organized by the GMA Kapuso Foundation to raise money, relief, and awareness in response to the loss of life and human suffering that resulted from Typhoon Ketsana (Ondoy). It was directed by Louie Ignacio and executive-produced by Wilma V. Galvante and Joseph Paolo Luciano. The special was performed to a live audience of more than 800 typhoon victims, who were also among the aid recipients.
The program was interspersed with various interviews that showcased stories of grief, heroism, and overcoming adversities following the natural disaster. These were accompanied by tribute numbers, which included popular holiday standards. After the Rain featured performances by guest musicians, including Pops Fernandez, Kuh Ledesma, Jaya, Kyla, Jay R, and La Diva. Various celebrities also appeared and made commentaries in the special.
Background
In September 2009, Typhoon Ketsana (Ondoy) became the most devastating tropical cyclone to hit Manila. During the 2009 Pacific typhoon season, a state of calamity was declared by then-President Gloria Macapagal Arroyo, encompassing most of Luzon. Ondoy caused widespread flash flooding and power interruptions in the cities and nearby provinces. It resulted in 464 fatalities and caused infrastructure and agriculture damage estimated at billion. Approximately 70,124 people were displaced and sheltered in 244 evacuation centers.
Initial plans for a Christmas benefit concert television special were announced by GMA Network on November 10, 2009, two months in the aftermath of Ondoy. Entitled After the Rain, the two-hour musical documentary featured Regine Velasquez and was described as an "homage to the Filipino spirit that has remained resilient despite the seemingly unending odds". It featured performances to a live audience of more than 800 typhoon victims, and is spliced with a series of interviews that showcased grief, heroism, and overcoming adversities after the typhoon struck. The singer collaborated with various musicians and special guests for the special, which aired on December 13, 2009. During a press conference for the program, Velasquez commented.
GMA and its social programs and outreach division, the GMA Kapuso Foundation, organized the production. Joseph Paolo Luciano served as executive producer, while Louie Ignacio directed it. Darling de Jesus was the supervising producer, with Paul Chia and MeAnn Regala as associate producers. Juel Balbon was in charge of floor production and Grace Toralde as head editor. Bang Arespacochaga was the program manager and Wilma V. Galvante was in charge of the executive production. Raul Mitra was chosen as the musical director. Guest performers included Pops Fernandez, Kuh Ledesma, Jaya, Kyla, Jay R, and La Diva. Various actors and other celebrities made comment |
https://en.wikipedia.org/wiki/Algorithmic%20accountability | Algorithmic accountability refers to the issue of where accountability should be apportioned for the consequences of real-world actions that were taken on account of algorithms used to reach a decision.
In principle, an algorithm should be designed in such a way that there is no bias behind the decisions that are made during its execution process. That is, the algorithm should evaluate only essential characteristics of the inputs presented, without making distinctions based on characteristics that usually should not be used in a social environment, such as the ethnicity of an individual who is being judged in a court of law. However, this principle may not always respected and on occasions individuals may be deliberately harmed by these outcomes. It is at this point that the debate arises about who should be held responsible for the losses caused by a decision made by the machine: the system itself or the individual who designed it with such parameters, since a decision that harms other individuals due to lack of impartiality or incorrect data analysis will happen because the algorithm was designed to perform that way.
Algorithm usage
The algorithms designed nowadays are spread out in the most diverse sectors of society that have some involvement of computational techniques in their control systems, of the most diverse sizes and with the most varied applications, being present in, but not limited to medical, transportation and payment services. In these sectors, the algorithms embedded in the applications perform activities of natures such as:
Approve/deny credit card applications;
Vote counting in elections;
Approve/deny immigrant visas;
Decide which taxpayers will be audited on their income taxes;
Managing the system that controls self-driving cars on a highway;
Scoring certain individuals as possible criminals for future use at trial.
The way these algorithms are implemented, however, can be quite confusing. Effectively, algorithms in general behave like black boxes, and in most cases it is not known the process that an input data goes through during the execution of a particular routine, but only the resulting output linked to what was initially entered. In general, there is no knowledge related to the parameters that make up the algorithm and how biased to certain aspects they can be, which can end up raising suspicions about the bias with which an algorithm treats a set of inputs. It depends on the outputs that are generated after the executions and if there is any individual who feels harmed by the result presented, especially when another individual, under similar conditions, ends up getting a different answer. According to Nicholas Diakopoulos:
Wisconsin Supreme Court case
As mentioned before, algorithms are widespread in the most diverse fields of knowledge and make decisions that affect the lives of the entire population. Moreover, their structure and parameters are often unknown by those who are affected by them. A case |
https://en.wikipedia.org/wiki/Margaret%20Smagorinsky | Margaret Smagorinsky (23 December 1915 – 14 November 2011) was an American statistician, computer programmer, and pioneering weather technologist. She was the first female statistician hired by the US Weather Bureau and the wife of meteorologist Joseph Smagorinsky.
Early life
Smagorinsky was born in Brooklyn, New York as the second of four daughters of Anne and George Knoepfel. She attended Bay Ridge High School in Brooklyn.
Smagorinsky loved learning from an early age and was the first member of her family to attend college when she attended Brooklyn College. She graduated at age 19 with a degree in mathematics, and taught school in a one-room schoolhouse in Ashland, N.Y. for four years.
Statistics career
Smagorinsky took the civil service exam for a statistical clerk in the US. She was offered a job at the Railroad Retirement Board in Washington, D.C., where she worked as a statistician processing paperwork for employees looking to enter the civil service.
At age 26, Smagorinsky joined the Weather Bureau, where she was the first woman statistician. In 1942, the Washington Post-Herald wrote about her as the first female professional statistician in the department. After being sent to New York University for additional coursework, she met Joseph Smagorinsky in a graduate statistics course. He was 8 years her junior, and they married on May 29, 1948.
Smagorinsky had five children: Anne, Peter, Teresa, Julia, and Frederick, and left full-time government employment after her first child was born in 1951.
Smagorinsky, in supporting her husband's work, processed data and programmed the ENIAC, Electronic Numerical Integrator And Computer. In April 1950, a group of meteorologists at New Jersey's Institute for Advanced Study successfully produced the first weather forecast using the ENIAC and numerical prediction techniques. Smagorinsky is cited as a programmer of computers for 5-day weather forecast models created by the Geophysical Fluid Dynamics Laboratory at the US National Oceanic and Atmospheric Administration.
Publications
The Regalia of Princeton University, Pomp, Circumstance, and Accoutrements of Academia.
The Tigers of Princeton University: A Campus Safari and Photo Essay (1992)
Some Legends and Lore of Princeton University: Historical Sketches (Little Books Series)
References
1915 births
2011 deaths
American meteorologists
American women civil servants
Brooklyn College alumni
National Oceanic and Atmospheric Administration personnel
People from New York City
Burials at Princeton Cemetery |
https://en.wikipedia.org/wiki/1971%20Gosser%20Ridge%20tornado | On April 27, 1971, a violent F4 tornado struck Gosser Ridge and other parts of Russell and Pulaski County, Kentucky. In November 1999, the National Climatic Data Center published a list of the historical F5 tornadoes in the United States from 1880 to 1999, which rated the Gosser Ridge tornado as an F5 tornado. It was later officially downgraded to an F4 tornado.
Synopsis
The tornado touched down roughly two miles north of Russell Springs just past the Adair and Russell County border around 9:53 PM EST. For the next few miles east-southeast from touching down, the tornado skipped, lifting and dropping multiple times. Around east of Russell Springs, aerial surveys showed two distinct paths approximately apart through a roadside park. The paths indicated a possible twin or satellite tornado, or a single, large, multiple vortex tornado. The path farthest to the east contained the most severe damage in this area. After the damage paths merged, the tornado turned due east and briefly lifted and touched down again where it damaged several homes. The tornado then grew to a width of as it struck Salem School, where several people were injured. Numerous homes around the school were destroyed and the school was severely damaged, with at least worth of damage to the school.
The tornado continued on its eastward track as it entered the community of Gosser Ridge. In Gosser Ridge, the tornado destroyed a farmhouse, killing two people and destroying nearly every building. Several other homes were destroyed and multiple injuries occurred in Gosser Ridge. In Gosser Ridge, "questionable F5” damage occurred, which led the National Oceanic and Atmospheric Administration and the Nuclear Regulatory Commission to rate the tornado F5 on the Fujita scale. In August 2000, the tornado was still rated F5, however, it was later downgraded to F4. The tornado then continued into Pulaski County, where it struck the community of Faubush. In Faubush, two people were injured, several structures were damaged or destroyed and a mobile home was destroyed. In Russell County, the tornado injured a total of 70 people, destroyed 174 structures and damaged 105 others. At an unspecified farm in Russell County, it was reported that the tornado struck a chicken farm, where it plucked chickens of all their feathers, but left them alive. In total, the tornado caused anywhere from to in property damage along its path of .
See also
Tornadoes of 1971
List of F4 and EF4 tornadoes
References
Tornadoes of 1971
1971 meteorology
F4 tornadoes
Tornadoes in Kentucky
F4 tornadoes by date |
https://en.wikipedia.org/wiki/Karin%20Monschauer | Karin Monschauer (born 1960) is a Luxembourg embroiderer who embarked on her artistic career in the 1980s. Since 2010, she has used computer graphics software to create digital art works presenting interwoven geometrical patterns of colours and shapes. In June 2022, in collaboration with Roma Tre University, her work was exhibited at Rome's Galleria Accademica d’Arte Contemporanea. Four of her works are in the permanent collection of the Bois du Cartier Museum in Charleroi, Belgium. As of March 2023, Monschauer lives in Muralto, Swirzerland.
Early life
Born in Esch-sur-Alzette, Luxembourg, on 2 September 1960, Karin Monschauer graduated from high school specializing in mathematics. Although she began to embroider while still young, she is a self-taught artist.
Career
In 1988, Monschauer began to embroider brightly coloured geometrical works in half cross-stitch. By 2010, she was experimenting with computerized art design programs. In December 2017, after spending 35 years in Italy, she was able to present a large selection of her digital art work in the premises of her former high school in Esch-sur-Alette. Her move to computerized support had not been easy and had proved much more time-consuming than might have been imagined. After first designing pullovers, she turned to geometrical representations. One advantage of working with fully digitized art was that it could be transported far more easily. Several of the works she exhibited created a three-dimensional effect, inspired perhaps by her interest in the Dutch artist M. C. Escher, though quite different.
Drawing on her experience of the Arabic art of raqm weaving, she was able to create ornamental designs with threads of different colours. Her works are then printed on canvas, inducing the perception of movement and continuity. By 2019, Monschauer had advanced with her digital work and was able to present 18 new works at the Swiss Art Expo in Zürich. Works such as Kreisel and Fissazione displayed impressive contrasts in colour and form thanks to the exceptionally high quality of the prints. In June 2022, in collaboration with Roma Tre University, her work was exhibited at Rome's Galleria Accademica d’Arte Contemporanea.
References
1960 births
Living people
People from Esch-sur-Alzette
21st-century Luxembourgian artists
Luxembourgian women artists
Luxembourgian digital artists
Embroiderers
Women digital artists
External links
Karin Monschauer's website |
https://en.wikipedia.org/wiki/GestaltMatcher | GestaltMatcher is a continuously updated collection of medical images of individuals with rare diseases and open-source AIs for the interpretation of such data. As of March 2023, GestaltMatcher DataBase (GMDB) contained approximately 10,000 case reports with a molecular diagnosis and clinical features annotated with HPO terminology. Medical images include, for example, facial photographs of patients with genetic syndromes manifesting with facial dysmorphic features, as well as radiographs from those with skeletal dysplasias.
GestaltMatcher allows users to find and publish case reports, including medical images, if that option is chosen in the dynamic consent module. By that means, GMDB complements medRxiv and can also be used as a repository for re-identifiable images in preprints.
History
The GestaltMatcher project started in April 2021 during the revision of the manuscript from Hsieh, et al. with funding from University of Bonn and the German Research Foundation (DFG). The reviewers and editors of Nature Genetics asked for FAIR data in order to reproduce the algorithmic results described in that work. Since then, the database (GMDB) has grown by contributions from its community. Since January 2022, GMDB can be used as repository for medical imaging data for preprints submitted to medRxiv. In February 2023, at the 14th ICHG meeting in Cape Town, Prof. Shahida Moosa (Stellenbosch University) reported the 10,000 case, which is a patient from South Africa with Mabry syndrome. Prof. Peter Krawitz also announced at the conference that AGD e.V., a German non-profit organization, will oversee the GMDB from this point forward.
References
External links
GestaltMatcher
GMDB
AGD e.V., operator of the service
Diagnosis codes
Medical search engines
Medical databases |
https://en.wikipedia.org/wiki/DatalogZ | DatalogZ (stylized as ) is an extension of Datalog with integer arithmetic and comparisons. The decision problem of whether or not a given ground atom (fact) is entailed by a DatalogZ program is RE-complete (hence, undecidable), which can be shown by a reduction to diophantine equations.
Syntax
The syntax of DatalogZ extends that of Datalog with numeric terms, which are integer constants, integer variables, or terms built up from these with addition, subtraction, and multiplication. Furthermore, DatalogZ allows , which are atoms of the form t < s or t <= s for numeric terms t, s.
Semantics
The semantics of DatalogZ are based on the model-theoretic (Herbrand) semantics of Datalog.
Limit DatalogZ
The undecidability of entailment of DatalogZ motivates the definition of limit DatalogZ. Limit DatalogZ restricts predicates to a single numeric position, which is marked maximal or minimal. The semantics are based on the model-theoretic (Herbrand) semantics of Datalog. The semantics require that Herbrand interpretations be to qualify as models, in the following sense: Given a ground atom of a limit predicate where the last position is a max (resp. min) position, if is in a Herbrand interpretation , then the ground atoms for (resp. ) must also be in for to be limit-closed.
Example
Given a constant w, a binary relation edge that represents the edges of a graph, and a binary relation sp with the last position of sp minimal, the following limit DatalogZ program computes the relation sp, which represents the length of the shortest path from w to any other node in the graph:
sp(w, 0) :- .
sp(y, m + 1) :- sp(x, m), edge(x, y).
See also
Constraint logic programming
References
Notes
Sources
Logic in computer science
Computer programming |
https://en.wikipedia.org/wiki/QMK | QMK (Quantum Mechanical Keyboard) is open-source firmware for microcontrollers that control computer keyboards. The QMK Configurator is freely available software which facilitates designing keyboard layouts and then turning them into firmware files. The QMK Toolkit is freely available software which facilitates the flashing or application of firmware onto programmable keyboards.
Description
VIA is a software program that can be used to configure keyboards that run QMK. It can swap keys and implement macros into the keyboard.
References
External links
Open-source firmware |
https://en.wikipedia.org/wiki/Dead%20Internet%20theory | The dead Internet theory is an online conspiracy theory that asserts that the Internet now consists mainly of bot activity and automatically generated content that is manipulated by algorithmic curation, marginalizing organic human activity. Proponents of the conspiracy believe these intelligent bots have been made, in part, to help manipulate algorithms and boost search results in order to ultimately manipulate consumers. Further, some proponents of the theory accuse government agencies of using bots to manipulate public perception. The date given for this "death" is generally around 2016 or 2017.
Origins and development
The dead Internet theory emerged as a theoretical concept in the late 2010s or early 2020s. While the exact origins of the theory are difficult to pinpoint, some point to a thread titled "Dead Internet Theory: Most Of The Internet Is Fake" on the forum Agora Road's Macintosh Cafe in 2021 as the origin of the term. However, discussions and debates surrounding the theory have been prevalent in online forums, technology conferences, and academic circles, possibly since earlier.
It was inspired by concerns about the Internet's increasing complexity, dependence on fragile infrastructure, potential cyberattack vulnerabilities, and most importantly, the exponential increase in artificial intelligence capabilities and use. The theory gained traction in discussions among technology enthusiasts, researchers, and futurists who sought to explore the potential risks associated with our reliance on the Internet. The conspiracy theory has entered public culture through widespread coverage, and has been discussed on various high-profile YouTube channels. It gained more mainstream attention with an article in The Atlantic titled "Maybe You Missed It, but the Internet 'Died' Five Years Ago". This article has been widely cited by other articles on the topic.
Claims and evidence
Large language models
Generative pre-trained transformers (GPTs) are a type of large language model (LLM) that employ artificial neural networks to produce human-like content. The first of these models was developed by the company OpenAI. These models have created a significant amount of controversy. In one example, Timothy Shoup of the Copenhagen Institute for Futures Studies stated that, "in the scenario where GPT-3 'gets loose', the internet would be completely unrecognizable." He predicted that in such a scenario, 99% to 99.9% of content online might be AI generated by 2025 to 2030. These predictions have been used as evidence for the dead internet theory.
James Betker, an employee of OpenAI, has compared GPT technology to an information virus.
ChatGPT
ChatGPT is an AI chatbot whose 2022 release to the general public gave new attention to the dead internet theory. Before this, the dead internet theory mostly emphasized government organizations, corporations, and tech-savvy individuals, but ChatGPT put the power of AI in the hands of average internet users. This |
https://en.wikipedia.org/wiki/Elena%20Belova%20%28physicist%29 | Elena V. Belova is a former Soviet and American physicist whose research involves the computer simulation of plasma, with applications ranging from the control of heat in tokamak-based fusion power to improved understanding of jets and spheromaks in the solar corona. She works for the United States Department of Energy as a principal research physicist at the Princeton Plasma Physics Laboratory in New Jersey.
Education and career
Belova studied physics at the Moscow Institute of Physics and Technology, earning a bachelor's degree in 1984 and a master's degree in 1987. From 1987 to 1992, she worked at the Russian Space Research Institute in Moscow. in 1992, she emigrated to the US with her husband, physicist Alexander V. Khrabrov. She went to Dartmouth College for graduate study in physics, supervised by Mary Hudson. She finished her Ph.D. in 1997, and on completing her doctorate became a researcher at the Princeton Plasma Physics Laboratory.
Recognition
Belova was the 2005 winner of the Katherine Weimer Award for Women in Plasma Science, given by the American Physical Society (APS) Division of Plasma Physics, "for pioneering analytical and numerical contributions to the fundamental physics of magnetically confined plasmas". She was named a Fellow of the American Physical Society in 2020, after a nomination from the Division of Plasma Physics, "for outstanding contributions to the development of novel numerical and theoretical models leading to improved understanding of the behavior of highly energetic particles and associated plasma instabilities in compact tori and spherical tokamaks".
References
External links
Home page
Year of birth missing (living people)
Living people
Soviet physicists
Soviet women physicists
American plasma physicists
American women physicists
Moscow Institute of Physics and Technology alumni
Dartmouth College alumni
Princeton Plasma Physics Laboratory people
Fellows of the American Physical Society |
https://en.wikipedia.org/wiki/Love%20Before%20Sunrise | Love Before Sunrise is a 2023 Philippine television drama romance series broadcast by GMA Network. Directed by Mark Sicat dela Cruz, it stars Dennis Trillo and Bea Alonzo. It premiered on September 25, 2023, on the network's Telebabad lineup replacing Royal Blood.
Cast and characters
Lead cast
Dennis Trillo as Artemio "Atom" Menandrez Jr.
Bea Alonzo as Stella Domingo
Supporting cast
Andrea Torres as Czarina Montelibano
Sid Lucero as Roald Vibal
Tetchie Agbayani as Zoraya Vibal
Ricky Davao as Rodrigo Montelibano
Jackie Lou Blanco as Amparo Montelibano
Vaness del Moral as Marijo Alcantara
Rodjun Cruz as Enrico "Rico" Domingo
Sef Cadayona as Bong Pagdilao
Matet de Leon as Daisy Lacson
Isay Alvarez-Seña as Lilian "Liling" Domingo
Vince Maristela as Memot Sulit
Cheska Fausto as Mutya Domingo
Nadia Montengero as Nida Sulit
Guest cast
Lito Pimentel as Artemio Menandrez Sr.
Jason Abalos as Jerson
Simon Ibarra as Robin Ramos
Sharmaine Arnaiz as Aurora
Ramon Christopher as Custor Domingo
William Lorenzo as Rolly
Nanette Inventor as Rocio
Bodjie Pascua as an old man
Jeniffer Maravilla as Jing
Jose Sarasola as Judah
Thia Thomalla as Margot
Gileth Sandico as Choleng
Angel Raymundo as Violy
Episodes
<onlyinclude>
Production
Principal photography commenced in April 2023.
References
External links
2023 Philippine television series debuts
Filipino-language television shows
GMA Network drama series
Philippine romance television series
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/Magical%20Drop%20F%3A%20Daib%C5%8Dken%20Mo%20Rakujyanai%21 | is a 1999 puzzle video game developed by Sakata SAS and published by Data East for the PlayStation. It is the fourth entry in the Magical Drop series. In the game, the player takes control of one of several characters and battle against opponents. Gameplay is similar to previous entries but with the addition of an role-playing (RPG) mode; the player controls Justice on a journey to find seven Magical Drops scattered across the land, traveling villages and challenging characters in battles to obtain items and power-ups.
Sakata SAS, a video game subsidiary of Japanese software developer SAS, had previously worked for Data East on a number of projects across multiple platforms such as the Tantei Jingūji Saburō series prior to Magical Drop F: Daibōken Mo Rakujyanai!. The game was directed by Masayuki Yoroki and produced by Hiromichi Nakamoto, with Tatsumi Sugiura acting as planner. Daibōken Mo Rakujyanai! garnered generally favorable reception from critics, most of which reviewed it as an import title. Its music and updated aesthetics were later used in Magical Drop for WonderSwan (1999), released for the WonderSwan. It was followed by Magical Drop V (2012).
Gameplay
Magical Drop F: Daibōken Mo Rakujyanai! is a puzzle game where the player takes control of one of several characters named after a tarot card, battling against computer-controlled opponents. Gameplay is similar to previous entries in the Magical Drop series; the objective is to clear the screen from a stack of constantly advancing colored 'drops' that descend from the top of the playfield. Drops can be picked up and dropped by the player's character, which is placed at the bottom of the screen, and they disappear when three or more of the same color are put together on a single column. Chains are formed either when a single drop caused a chain reaction or when more than one group of drops are cleared in quick succession. Forming chains cause the opponent's stack to descend faster.
One notable addition is the introduction of character-specific special power-up items, of which there are three that gives the players unique abilities during gameplay. The game replaces adventure mode from Magical Drop III with a role-playing (RPG) mode; the player controls Justice on a journey to find seven Magical Drops scattered across the land, traveling villages and challenging characters in battles to obtain items and power-ups. The game is over once a player is defeated when the stack of drops hits the bottom.
Development and release
Magical Drop F: Daibōken Mo Rakujyanai! was developed by Sakata SAS, a video game subsidiary of Japanese software developer SAS established in 1985, which had previously worked for Data East on a number of projects across multiple platforms such as the Tantei Jingūji Saburō series. It was directed by Masayuki Yoroki and produced by Hiromichi Nakamoto. Tatsumi Sugiura served as planner, while Keiichi Hinata, Motohiro Umeki, and Tsuyoshi Takahashi acted as co-programme |
https://en.wikipedia.org/wiki/Disability%20in%20Iran | According to 2015 data, more than 1.87 million Iranians with disabilities, or about 4.2% of the total population, were registered with the government. Although the law requires the collection of data on the number of individuals with disabilities, as well as on the types of disabilities; however, following a low 2011 national census statistic — which purported a mere 1.35% of the population as having disabilities — the Iran Statistics Center removed all questions relating to disability from the 2016 census. In 2014, the director of the State Welfare Organization of Iran's "Disabled Persons Empowerment Office", Keivan Davatgaran, stated that approximately 11% of the population was disabled.
Laws
Paragraph 9 Principle 3 of the legal code of the Islamic Republic of Iran emphasizes the removal of unfair discrimination and the creation of equitable facilities for all people in material and spiritual contexts. Laws supporting the rights of disabled people have obliged the government to provide the necessary grounds for securing the rights of disabled people and to provide them with necessary support.
In 2004, the Islamic Consultative Assembly passed legislation under the title of the Comprehensive Law for the Protection of the Disabled and in 16 legal articles; 4 years later, in 2008, the Iranian Parliament approved the Convention on the Rights of Persons with Disabilities, so that Iran joined this international convention. During the administration of Hassan Rouhani, a bill supporting the rights of disabled people was introduced; this bill, under the title Law on the Protection of the Rights of the Disabled, was approved by parliament in March 2018, and it's implementation was announced by the president in May 2018. Despite this, there are many problems in the route of implementation of these laws that have caused many of them to be unenforceable.
According to the government of Iran, 25% of disabled individuals who had registered with the State Welfare Organization received disability pensions in 2016.
Military service exemptions
In Iran, according to the comprehension protection act for disabled people, disabled individuals who fall under the textual conditions of this law are medically exempt from military service. There are reports known to the media and citizens regarding the prevalence of discrimination in employment towards people with medical exemptions in public and private offices. Since there is a lot of spiritual, psychological, and economic pressure on families who have a disabled child, in the past there was also an exemption from military service for the other, healthy child of a family with a disabled child. However, presently, according to Article 6 of the Comprehensive Law for the Protection of the Disabled, only families who have two disabled children can have their non-disabled child exempt from military service. Individuals who, according to the text of these laws, have parents with disabilities are exempt from military servi |
https://en.wikipedia.org/wiki/Mira%20Murati | Mira Murati (born 1988) is an Albanian mechanical engineer, researcher and business executive. She is currently the chief technology officer of OpenAI, the artificial intelligence research company that develops ChatGPT.
Early life and education
Murati was born in 1988 in Vlorë, Albania, to Albanian parents.
At the age of 16, she left Albania to attend and graduate from Pearson College UWC, located on Vancouver Island, British Columbia, Canada. It is one of the schools and colleges around the world in the United World Colleges movement.
Later, she graduated from Thayer School of Engineering at Dartmouth College in 2012 with a Bachelor of Engineering degree in mechanical engineering.
Career
Murati started her career as an intern at Goldman Sachs in 2011, and worked at Zodiac Aerospace from 2012 to 2013. She spent three years at Tesla as a senior product manager of Model X before joining Leap Motion. She then joined OpenAI in 2018, later becoming its chief technology officer, where she leads the company's work on ChatGPT, Dall-E, and Codex. Her responsibilities include oversight of the company's research, product and safety teams.
She is an advocate for the regulation of AI.
See also
Sam Altman
History of artificial intelligence
Ethics of artificial intelligence
References
External links
Living people
1988 births
Chief technology officers
American technology executives
American people of Albanian descent
Thayer School of Engineering alumni
Dartmouth College alumni
People educated at a United World College
People from Vlorë
Albanian emigrants to the United States
OpenAI
Artificial intelligence ethicists
American women engineers
Tesla, Inc. people |
https://en.wikipedia.org/wiki/Sandrine%20Blazy | Sandrine Blazy is a French computer scientist known for her research in the formal verification of compilers, and especially for her work as a developer of CompCert, a compiler for a large subset of C99 that is "the first industrial-strength compiler with a mechanically checked proof of correctness". She is a professor at the University of Rennes and deputy director of IRISA, the Institut de recherche en informatique et systèmes aléatoires of the University of Rennes and the French National Centre for Scientific Research.
Education and career
Blazy studied computer science as an undergraduate through the École nationale supérieure d'informatique pour l'industrie et l'entreprise (ENSIIE) and Sorbonne University, earning both an engineering degree from ENSIIE and a master's degree from the Sorbonne in 1990. She completed a Ph.D. in 1993, and received a habilitation in 2008 at the University of Évry Val d'Essonne.
She worked as a lecturer at ENSIIE from 1994 to 2009, when she moved to her present position as a professor at the University of Rennes. She became deputy director of IRISA in 2021.
Recognition
Blazy was part of a group of software developers honored twice by the Association for Computing Machinery for their work on CompCert, with the 2021 ACM Software System Award and the 2022 ACM SIGPLAN Programming Languages Software Award.
In 2023, Blazy received the CNRS Silver Medal.
References
External links
Home page
Year of birth missing (living people)
Living people
French computer scientists
French women computer scientists
Academic staff of the University of Rennes |
https://en.wikipedia.org/wiki/Blazy | Blazy is a surname. Notable people with the name include:
Kent Blazy, American country music songwriter
Sandrine Blazy, French computer scientist
Philippe Douste-Blazy (born 1953), French politician |
https://en.wikipedia.org/wiki/Algorithmic%20curation | Algorithmic curation is the curation (organizing and maintaining a collection) of online media using computer algorithms. Examples include search engine algorithms and social media algorithms. Examples include the Twitter feed algorithm, Facebook's algorithmic feeds and the Google search algorithm. Curation algorithms are typically proprietary "black box" algorithms, leading to concern about invisible bias in their choices and the creation of filter bubbles.
The usage of Algorithm curation has been increasing immensely, Social Media Platforms in 2023 have introduced various new updates to the use of Algorithm curation. Mark Zuckerberg announced during an earnings call that usage of AI-powered Algorithmic curation will be doubled. Platforms like LinkedIn & TikTok are also experimenting with Algorithmic curation. This form of curation has changed how creators & businesses can escape social media algorithms to reach consumers. An average social media user is more likely to see only highly relevant content. But that relevancy becomes dangerous as if someone is only seeing biased content on their social media feed. Algorithmic curation betters your average social media experience, yet you need to be aware of what you’re seeing and why.
See also
Algorithmic radicalization
Ambient awareness
Collective influence algorithm
Influence-for-hire
Social bot
Social data revolution
Social influence bias
Social media bias
Social media intelligence
Social profiling
Virtual collective consciousness
References
Social media
Mass media monitoring
Social influence |
https://en.wikipedia.org/wiki/Ernst%20Kussul | Ernst Kussul (29 May 1938 - 3 March 2023) was a Lithuanian researcher in artificial neural network, particularly for problems of handwriting recognition, mechatronics and the manufacture of microelectromechanical systems. He also published research papers on renewable energy, including for concentrated solar power. At the end of his life, he worked at the National Autonomous University of Mexico (UNAM), in the Microtechnology and Neural Networks group of the Department of Micro and Nanotechnologies of the Institute for Applied Sciences and Technology (ICAT).
Education
Ernst Kussul received the Ph.D., degree in 1967 and the D.Sc., degree in 1982, both in neural networks from the Institute of Cybernetics of the Ukrainian Academy of Sciences, Kyiv, Ukraine.
Career
He worked as researcher for the Ukrainian Academy of Sciences Institute of Cybernetics around 1980's.
In the last stage of his career, Dr. Kussul worked in UNAM, Mexico from 1998 until he died (2023).
He was "C level researcher" according to UNAM researchers category, PRIDE level "D" and member of the Mexican National Research System (SNI) level II. He coordinated the research group called "Microtechnology and Neural Networks" until 2007, he was head of the "Laboratory of Micromechanics and Mecatronics" at the same institute.
The Dr. Kussul authored 16 patents in Mexico, ex Soviet Union, Russia, Ukraine and USA. In Mexico, he registered 6 patents (four with UNAM and three together with the CINVESTAV), has 1 patent in USA and two patents in Spain, and 5 copyrights.
He authored more than 300 publications, including 105 international journal articles, 6 articles in Mexican journals, 19 chapters of books, six books (two with editorial Springer), 90 international congresses and participated in 59 Mexican congresses.
Dr. Kussul participated as responsible in 19 Mexican and international projects, accumulated 19 technical reports in the UNAM, 2 reports with ICYTDF, 2 reports with SUEMA. Dr. Kussul was also CONACYT projects evaluator.
Dr. Kussul was Member of IEEE from 2003 and Senior Member from February 2019.
Dr. Kussul was a member of the Mexican Academy of Sciences from 2008. The Dr. Kussul was Member of Mexican Academy of Technology from 2000.
In 2016 he was awarded the Prize of UNAM in area of Technological Innovation and Industrial Design.
Death
Ernst Kussul died on the morning of Friday March 3rd, 2023 at his home in Mexico City when he was 84 years 9 months old.
Recognition
Dr. E. Kussul was a member of the Mexican Academy of Sciences.
Books
With Tetyana Baydyk and Donald Wunsch, Kussul is coauthor of the books Neural Networks and Micromechanics (Springer, 2009) and Intelligent Automation in Renewable Energy (Springer, 2019).
References
External links
Google Scholar Publications List
Trayectoria Académica del Dr. Ernst Kussul (Mexican Television Report)
Dr. Ernst Kussul: Premio Universidad Nacional 2016 (Conference in Spanish)
1938 births
2023 deaths
Computer vision researc |
https://en.wikipedia.org/wiki/Gothic%20%28upcoming%20video%20game%29 | Gothic is an upcoming remake of the 2001 action role-playing game of the same name. The game is in development at Alkimia Interactive.
Background and production
In May 2019, the Austrian computer game publisher THQ Nordic bought the German development studio Piranha Bytes, which was the author and the rights holder of the computer game Gothic. This title and ownership passed to THQ Nordic.
In December 2019, the Spanish branch of THQ Nordic, THQ Barcelona, released the game demo Gothic Playable Teaser and at the same time started a public survey to get feedback from the Gothic fan community on the demo and on the idea of a remake. The response to it was relatively high, with over 180,000 downloads of the demo and over 30,000 responses, which varied accordingly. In February 2020, THQ Nordic announced the production of the remake. According to the publisher, over 90% of the players were in favor for a production of a remake.
Before the start of production, in May 2020, Alkimia Interactive was founded in Barcelona specifically for the development of a Gothic remake. All creative people involved were advised to have played the original title before the start of production. Piranha Bytes itself had stated to THQ Nordic that its own motivation in game development was not another Gothic game, but the development of other titles such as ELEX.
By their own admission, the "heart" that Alkimia Interactive is focusing on in production is the AI. An algorithm in the game decides which animation sequences are called up or follow one another, so that the movements of the player character and NPCs appear realistic. The algorithm/the AI uses 20–30-minute motion capture recordings as specifications, which have been divided into individual sequences and categorized, which is referred to as motion magic. According to Alkimia Interactive iteration has been given a lot of work-time during the production in this regard. "Controls and UI" are also "two big points" to make the game "more accessible [than the original]". According to Reinhard Pollice, the lead producer at Alkimia Interactive, the combat system in the remake is based on the original, in contrast to the playable teaser. Aside from certain graphics taken from the playable teaser, there was a "complete reboot" in game design after the community feedback on the demo called for a remake that was more close to the original than the demo itself. Accordingly, the skill system will again be "very close to the original". Lockpicking will feature a system similar to the original, but will be, according to Alkimia Interactive, presented differently. Due to increased design options and higher level of detail since 2001, the game world, which is based on the original, will be 10–30% larger overall. If some places in the original game world were not fully designed, an attempt was made to "take up such potential". Because of this, some locations have higher magnification than others. Through those few new locations th |
https://en.wikipedia.org/wiki/Skyhigh%20Security | Skyhigh Security is a cloud security company, with headquarters in San Jose, California. The company offers enterprise cloud security services.
History
Skyhigh Networks was founded in 2011 by Rajiv Gupta, Sekhar Sarukkai, and Kaushik Narayan to protect an organization's sensitive data by providing visibility, control, and usage of cloud services. In November 2016, Skyhigh Networks was recognized as a market leader.
On November 27, 2017, McAfee, an American global computer security software company, announced a definitive agreement to acquire Skyhigh Networks. The deal closed in January 2018.
In March 2021, McAfee announced that its enterprise business was acquired by private equity firm Symphony Technology Group (STG) for US$4bn. and in March 2022, STG relaunched the cloud portfolio, including the former Skyhigh Networks, as Skyhigh Security. Skyhigh Security remains a leader in the now expanded Security Services Edge market focusing on cloud data protection.
References
Computer security companies
Computer security software companies |
https://en.wikipedia.org/wiki/Catalogue%20of%20Texts%20and%20Authors | The Catalogue of Texts and Authors is a work of Akkadian literature. The Catalogue represents the most important Mesopotamian metatext: its compiler grouped together texts or text categories under the names of authors "from whose mouth" they purportedly stem. Works are ascribed to Ea (the god of wisdom), to antediluvian sages and semi-mythical kings; but also to famous family ancestors and scholars from a less remote past. Additionally, some compositions are said to result from divine revelation or from dictation by certain animals.
Composition and manuscripts of the text
The composition of the Catalogue can be tentatively dated at some point between the 10th (the plausible composition date of the latest works included in it) and 7th centuries BCE (the date of its earliest manuscripts). Furthermore, as all post-diluvian scholars mentioned in it are said to either stem from Babylon, Nippur or Eridu, a Babylonian origin of the text is more than likely. At present, the Catalogue is preserved in two versions: one from 7th century Nineveh and a less well-preserved one from Hellenistic or Arsacid Babylon. Both use the same basic pattern and overlap in some of the titles listed, but seem to belong to two divergent recensions.
Authorship in ancient Mesopotamia
The Catalogue shows that Babylonian scholars wondered who created their canonical texts. This fact in itself is remarkable, since for the most part of its history Mesopotamian scholarly tradition showed little interest in understanding works of literature as creations of inspired individuals (see Author). For this reason, it has been argued that the main raison d'être of the Catalogue was not the concern for the biographies of individual authors, but rather the wish to underline the professional and familial heritage of the scribes whose prerogative it was to engage with and maintain cuneiform scholarship.
References
External links
0.0 Catalogue of Texts and Authors critical edition and translation of the text (electronic Babylonian Library).
Akkadian literature |
https://en.wikipedia.org/wiki/Kemba%20Walden | Kemba Eneas Walden is an American lawyer serving as the acting National Cyber Director since February 2023. She joined the Office of the National Cyber Director as its principal deputy in May 2022. Walden was previously counsel of the digital crimes unit at Microsoft.
Life
Walden earned a B.A. from Hampton University. She earned a Master’s in Public Affairs from Princeton University and a J.D. from the Georgetown University Law Center.
Walden spent a decade in government service at the United States Department of Homeland Security, most recently at the Cybersecurity and Infrastructure Security Agency. She was appointed to the Cyber Safety Review Board. Walden later served as counsel at the Digital Crimes Unit (DCU) of Microsoft. She was responsible for launching and leading DCU’s Ransomware Program.
In May 2022, she joined the Office of the National Cyber Director, as its principal deputy. Upon the retirement of John C. Inglis on February 15, 2023, she became the acting director. She was involved in the development of a National Cybersecurity Strategy.
References
Living people
Year of birth missing (living people)
21st-century American lawyers
21st-century American women lawyers
Chief executives of computer security organizations
Hampton University alumni
Princeton University alumni
Georgetown University Law Center alumni
Microsoft employees
United States Department of Homeland Security officials
African-American women lawyers
21st-century African-American women
Biden administration personnel
21st-century African-American lawyers |
https://en.wikipedia.org/wiki/Anglican%20Church%20of%20the%20Good%20Samaritan | The Anglican Church of the Good Samaritan is an Anglican church in St. John's, Newfoundland and Labrador, Canada. Founded in 2008, it is a member of the Anglican Network in Canada, which separated from the Anglican Church of Canada. Since 2022, Good Samaritan has been home to Packer College, ANiC's diocesan seminary.
History
The Church of the Good Samaritan was founded in 2008 as part of the Anglican realignment. It worshiped at 27 different locations during its first 12 years, but in 2020, the church received an anonymous CAD2.5 million gift that allowed it to purchase the former Anglican Church of St. Michael and All Angels on 10 St. Clare Road in St. John's. The church, built in 1959, had been deconsecrated and used as a fitness center. (One of St. Michael's former rectors was ANiC Bishop Donald Harvey, who later served as an honorary assistant and bishop in residence at Good Samaritan.)
Packer College
Starting in 2022, Good Samaritan's building became the campus for Packer College. Named after J. I. Packer, the college is the official theological seminary of ANiC. It offers a three-year licentiate in theology while its accreditation is pending. Offering residential, in-person learning, Packer College reflects the Anglo-Catholic, evangelical and charismatic traditions within ANiC. Good Samaritan's rector, the Ven. Darrell Critch, is Packer College's chaplain, and Packer College professor David Smith is an honorary assistant at Good Samaritan. The church building was consecrated and the college formally instituted by Bishop Charlie Masters on the feast of the Holy Cross in September 2022.
Ministries
As the host of Packer College, Good Samaritan conducts daily morning prayer and evensong services, as well as feast day Eucharists, during the school term.
Good Samaritan practices a tithe with its church income, some of which goes to a partnership with Arms of Jesus Children's Mission in Guatemala City. Good Samaritan also supports ANiC church plants in Gander and Bonavista. Honorary assistant priest Marilyn Flower engages in prison ministry to inmates in His Majesty's Penitentiary in St. John's.
Amid a homelessness surge in St. John's, Good Samaritan in 2023 proposed to the city that its parking lot zoning be changed to allow institutional use, including the possibility of converting part of its building and grounds into a 40-bed emergency shelter. On September 27, 2023, the church and provincial government announced that through a partnership of NL Housing and the Anglican Church of the Good Samaritan, The Safe Haven Shelter would serve as a new emergency shelter and warming centre. The Safe Haven Shelter is a 40-bed emergency shelter with an additional 30 person warming shelter in the winter months.
References
External links
Church of the Good Samaritan website
Christian organizations established in 2008
Churches in St. John's, Newfoundland and Labrador
Anglican Church in North America church buildings in Canada
20th-century Anglican ch |
https://en.wikipedia.org/wiki/BookCorpus | BookCorpus (also sometimes referred to as the Toronto Book Corpus) is a dataset consisting of the text of around 7,000 self-published books scraped from the indie ebook distribution website Smashwords. It was the main corpus used to train the initial GPT model by OpenAI, and has been used as training data for other early large language models including Google's BERT. The dataset consists of around 985 million words, and the books that comprise it span a range of genres, including romance, science fiction, and fantasy.
The corpus was introduced in a 2015 paper by researchers from the University of Toronto and MIT titled "Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books". The authors described it as consisting of "free books written by yet unpublished authors," yet this is factually incorrect. These books were published by self-published ("indie") authors who priced them at free; the books were downloaded without the consent or permission of Smashwords or Smashwords authors and in violation of the Smashwords Terms of Service The dataset was initially hosted on a University of Toronto webpage. An official version of the original dataset is no longer publicly available, though at least one substitute, BookCorpusOpen, has been created. Though not documented in the original 2015 paper, the site from which the corpus's books were scraped is now known to be Smashwords.
References
Datasets in machine learning
English corpora |
https://en.wikipedia.org/wiki/Fine-tuning%20%28deep%20learning%29 | In deep learning, fine-tuning is an approach to transfer learning in which the weights of a pre-trained model are trained on new data. Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (not updated during the backpropagation step). A model may also be augmented with "adapters" that consist of far fewer parameters than the original model, and fine-tuned in a parameter-efficient way by tuning the weights of the adapters and leaving the rest of the model's weights frozen.
For some architectures, such as convolutional neural networks, it is common to keep the earlier layers (those closest to the input layer) frozen because they capture lower-level features, while later layers often discern high-level features that can be more related to the task that the model is trained on.
Models that are pre-trained on large and general corpora are usually fine-tuned by reusing the model's parameters as a starting point and adding a task-specific layer trained from scratch. Fine-tuning the full model is common as well and often yields better results, but it is more computationally expensive.
Fine-tuning is typically accomplished with supervised learning, but there are also techniques to fine-tune a model using weak supervision. Fine-tuning can be combined with a reinforcement learning from human feedback-based objective to produce language models like ChatGPT (a fine-tuned version of GPT-3) and Sparrow.
Robustness
Fine-tuning can degrade a model's robustness to distribution shifts. One mitigation is to linearly interpolate a fine-tuned model's weights with the weights of the original model, which can greatly increase out-of-distribution performance while largely retaining the in-distribution performance of the fine-tuned model.
Variants
Low-rank adaption
Low-rank adaption (LoRA) is an adapter-based technique for efficiently finetuning models. The basic idea is to design a low-rank matrix that is then added to the original matrix. An "adapter" in this context is a collection of low-rank matrices, which when added to a base model, produces a finetuned model. It allows for performance that approaches full-model fine-tuning with less space requirement. A language model with billions of parameters may be LoRA fine-tuned with only several millions of parameters.
LoRA-based fine-tuning has become popular in the Stable Diffusion community. Support for LoRA is being integrated into the Diffusers library from Hugging Face. Support for LoRA and similar techniques is also available for a wide range of other models through Hugging Face's Parameter-Efficient Fine-Tuning (PEFT) package.
Applications
Natural language processing
Fine-tuning is common in natural language processing (NLP), especially in the domain of language modeling. Large language models like OpenAI's series of GPT foundation models can be fine-tuned on data for specific downstream NLP tasks (ta |
https://en.wikipedia.org/wiki/Fine-tuning | Fine-tuning may refer to:
Fine-tuning (machine learning)
Fine-tuning (physics)
See also
Tuning (disambiguation) |
https://en.wikipedia.org/wiki/Wagner%20Group%20activities%20in%20Libya | The Wagner Group, also known as PMC Wagner, a Russian paramilitary organization also described as a private military company (PMC), a network of mercenaries, and a de facto unit of the Russian Ministry of Defence (MoD) or Russia's military intelligence agency, the GRU, has conducted operations in Libya since late 2018.
Introduction to the Libyan Civil War
In October 2018, the British tabloid The Sun cited British intelligence officials that two Russian military bases had been set up in Benghazi and Tobruk, in eastern Libya, in support of Field Marshal Khalifa Haftar who leads the Libyan National Army (LNA) in that country's civil war. It was said the bases were set up under the cover of the Wagner Group and that 'dozens' of GRU agents and special forces members were acting as trainers and liaisons in the area. Russian Kalibr missiles and S-300 SAM systems were also thought to be set up in Libya.
The Head of the Russian contact group on intra-Libyan settlement, Lev Dengov, stated that The Sun report did not "correspond to reality", although RBK TV also confirmed the Russian military deployment to Libya. By early March 2019, according to a British government source, around 300 Wagner PMCs were in Benghazi supporting Haftar. At this time, the LNA was making large advances in the country's lawless south, capturing a number of towns in quick succession, including the city of Sabha and Libya's largest oil field. By 3 March, most of the south, including the border areas, was under LNA control.
Following the southern campaign, the LNA launched an offensive against the GNA-held capital of Tripoli, but the offensive stalled within two weeks on the outskirts of the city due to stiff resistance. At the end of September, following reports of GNA airstrikes killing Russian mercenaries during the month south of Tripoli, including one that reportedly left dozens dead and Wagner commander Alexander Kuznetsov injured, Western and Libyan officials stated that during the first week of September more than 100 Wagner PMCs arrived on the frontline to provide artillery support for Haftar's forces. Following the GNA's recapture of a village south of Tripoli from the LNA, the GNA found the abandoned belongings of one of the PMCs.
Subsequently, at the sites of various clashes along the frontline, GNA militiamen were recovering Russian material being left behind. By early November, the number of PMCs had grown to 200 or 300 and Wagner snipers were causing a number of casualties among GNA frontline fighters, with 30 percent of the deaths in one unit being due to the Russian snipers. On one day, nine GNA fighters were killed by sniper fire. In another incident at the frontline town of 'Aziziya, three GNA fighters were killed by snipers while assaulting a Russian-occupied school. The PMCs eventually blew a hole in the wall of a classroom and escaped as the GNA attacked the school with Turkish armored vehicles. The PMCs' snipers killed a number of competent GNA mid-level c |
https://en.wikipedia.org/wiki/County%20Line%3A%20No%20Fear | County Line: No Fear is a 2022 American action film and the third installment of the County Line film series. Tom Wopat returns as Sheriff Alden Rockwell, with the film airing on the INSP network. It was released exclusively for streaming on Vudu in December 2022, with the DVD version of the film expected to be released in April 2023.
Plot
Sheriff Alden Rockwell has his retirement interrupted when an organised crime gang begins to scale up its operations in a neighboring county and threatens the family of Jo Porter. Tom Wopat reprises the role of Rockwell, and Kelsey Crane again Sheriff Jo Porter. Rockwell aims to help out to protect the future of both counties.
Main cast
Tom Wopat as Alden Rockwell
Kelsey Crane as Joanne Porter
Denim Richards as Dante Hill
Patricia Richardson as Maddie
Casper Van Dien as Zed Dalton
Abbi Butler as Ember Rockwell
Joseph Curtis Callender as Agent Pierson
Production & release
Production of No Fear was announced in August 2021, along with a list of other films to be filmed in Wilmington, North Carolina. Senator Roy Cooper commented on County Line: No Fear as one of the films helping the growth of the film industry in NC. The official trailer for the film was released in December 2022.
Reception
ActionReloaded gave the film a positive review, receiving a verdict of 4.5 out of 5 stars.
References
2022 films
INSP Films |
https://en.wikipedia.org/wiki/Cheree%20Cassidy | Cheree Cassidy is an Australian actress. For her performance in the Nine Network crime drama Underbelly: The Golden Mile (2010), she was nominated for the AFI Award For Best Lead Actress In A Television Drama.
This was followed by roles in the ABC series Paper Giants: The Birth of Cleo (2011) and The Time of Our Lives (2013–2014), and the soap opera Home and Away (2016–2017).
Stage performances include When Dad Married Fury at the Ensemble Theatre in 2012, The Boys at the Griffin Theatre and touring with the Black Swan's adaptation of Cat on a Hot Tin Roof.
Filmography
Underbelly: The Golden Mile (2010) as Debbie Webb
Paper Giants: The Birth of Cleo (2011) as Ivana Holbrook
The Time of Our Lives (2013–14) as Alice McQueen
Home and Away (2016–17) as Samantha Webster
Eden (2021) as Newsreader
Ten Pound Poms (2023) as Marlene
Stage
Cat on a Hot Tin Roof (2011) as Maggie (national tour)
The Boys (2012) as Michelle (Griffin Theatre)
When Dad Married Fury (2012) as Fury (Ensemble Theatre)
Early life
Cassidy grew up in Sydney. After taking short courses at the Australian Film, Television and Radio School and New York's Neighborhood Playhouse School of the Theatre, Cassidy moved to Perth to study at the Western Australian Academy of Performing Arts, graduating in 2008. She also trained in dance at Brent Street.
References
External links
Living people
Actresses from Sydney
Australian film actresses
Australian television actresses
Australian stage actresses
Western Australian Academy of Performing Arts alumni
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Comparison%20of%20data%20structures | This is a comparison of the performance of notable data structures, as measured by the complexity of their logical operations. For a more comprehensive listing of data structures, see List of data structures.
The comparisons in this article are organized by abstract data type. As a single concrete data structure may be used to implement many abstract data types, some data structures may appear in multiple comparisons (for example, a hash map can be used to implement an associative array or a set).
Lists
A list or sequence is an abstract data type that represents a finite number of ordered values, where the same value may occur more than once. Lists generally support the following operations:
peek: access the element at a given index.
insert: insert a new element at a given index. When the index is zero, this is called prepending; when the index is the last index in the list it is called appending.
delete: remove the element at a given index.
Maps
Maps store a collection of (key, value) pairs, such that each possible key appears at most once in the collection. They generally support three operations:
Insert: add a new (key, value) pair to the collection, mapping the key to its new value. Any existing mapping is overwritten. The arguments to this operation are the key and the value.
Remove: remove a (key, value) pair from the collection, unmapping a given key from its value. The argument to this operation is the key.
Lookup: find the value (if any) that is bound to a given key. The argument to this operation is the key, and the value is returned from the operation.
Unless otherwise noted, all data structures in this table require O(n) space.
Integer keys
Some map data structures offer superior performance in the case of integer keys. In the following table, let be the number of bits in the keys.
Priority queues
A priority queue is an abstract data-type similar to a regular queue or stack. Each element in a priority queue has an associated priority. In a priority queue, elements with high priority are served before elements with low priority. Priority queues support the following operations:
insert: add an element to the queue with an associated priority.
find-max: return the element from the queue that has the highest priority.
delete-max: remove the element from the queue that has the highest priority.
Priority queues are frequently implemented using heaps.
Heaps
A (max) heap is a tree-based data structure which satisfies the : for any given node C, if P is a parent node of C, then the key (the value) of P is greater than or equal to the key of C.
In addition to the operations of an abstract priority queue, the following table lists the complexity of two additional logical operations:
increase-key: updating a key.
meld: joining two heaps to form a valid new heap containing all the elements of both, destroying the original heaps.
Notes
References
Computing comparisons
Data structures |
https://en.wikipedia.org/wiki/Wagner%20Group%20activities%20in%20the%20Central%20African%20Republic | The Wagner Group, also known as PMC Wagner, a Russian paramilitary organization also described as a private military company (PMC), a network of mercenaries, and a de facto unit of the Russian Ministry of Defence (MoD) or Russia's military intelligence agency, the GRU, has conducted operations in the Central African Republic since late 2018.
There have been an estimated 1,000 Wagner mercenaries stationed in CAR since 2018, protecting the government of Faustin-Archange Touadéra against rebels amid the Central African Republic Civil War, and seeking to control and extract valuable natural resources. Precious metal extraction could aid the Russian government to weather the international sanctions imposed for its 2022 invasion of Ukraine. Wagner forces have been accused of perpetrating human rights abuses in CAR, including the torture and killing of civilians.
Military and militia activities
In mid-January 2018, it was reported that Wagner may deploy a contingent of its PMCs to the Central African Republic (CAR), as Russia successfully lobbied the UN Security Council to allow it to ship weapons and ammunition to the country, despite an active arms embargo in place since 2013 under Security Council Resolution 2127. Reuters reported that France had offered to transport arms seized in Somalia to the former French colony, but was muscled out of the country by Russia. In late March, Russia's Ministry of Foreign Affairs stated five Russian soldiers and 170 "civilian instructors" had been sent to the CAR to train its servicemen. According to CAR's president, Faustin-Archange Touadéra, the training provided would strengthen the effectiveness of the CAR's armed forces in combating "plunderers". Later, the instructors were indeed
confirmed to be Wagner PMCs who were sent to the CAR to protect lucrative mines, support the CAR government and provide close protection for Touadéra.
The role of the PMCs was also to fill a security vacuum left by France after it withdrew its military forces from the country in October 2016. The country had been in the midst of a civil war since 2012, which left three-quarters of it under rebel control. The PMCs' camp was set up on 24 March 2018, about 60 kilometers from the capital Bangui at the Berengo estate that was used by CAR's former ruler Jean-Bédel Bokassa. This deployment brought the number of PMCs in Sudan and the CAR to about 370. In April, locals blocked a Russian-registered Cessna from taking off in rebel-held Kaga-Bandoro, which is located near diamond deposits. According to the CAR government, the plane was carrying Russian military advisers who had been there for peace negotiations with the rebels and witnesses stated three or four Russian soldiers from the aircraft visited the compounds of Muslim rebel leaders. This raised suspicions by CIT and the Transparency International INGO that Wagner PMCs were also guarding diamond mines in rebel territory. Several years later, a report to the UN Security Council regard |
https://en.wikipedia.org/wiki/State%20space%20%28disambiguation%29 | A state space is a discrete space considered in computer science.
It may also refer to:
Configuration space (physics)
Phase space
Quantum state space
State-space representation |
https://en.wikipedia.org/wiki/Transport%20for%20Cornwall | Transport for Cornwall () is a partnership between local government and transport operators responsible for the development and integration of the transport network in Cornwall, England.
Transport for Cornwall is responsible for council-funded buses in Cornwall, with various national and local bus companies running the services via franchise. It does not oversee any other forms of public transport in the county, which are limited to passenger rail, air, and ferry services.
History
Before the partnership
Transport for Cornwall branding arose from the One Public Transport System for Cornwall plan, created by Cornwall Council in 2015, when limited devolution powers were given to Cornwall which included public transport governance. Prior to this, the bus network in Cornwall was run by multiple private operators, with no integrated timetabling nor ticketing, with some tendered services being funded by the council to improve rural access. Traveline provided some combined journey planning.
One Public Transport System for Cornwall: Initial partnership
Under Cornwall's first devolution deal in 2015, the county was given the power to develop and franchise bus transport. Cornwall Council initially invested in new facilities such as waiting areas, vehicles and real-time arrival displays at bus stops. This was done with extra funding from the Cornwall and Isles of Scilly Local Enterprise Partnership, GWR and Plymouth's Transforming Cities Fund. This was done in cooperation with various local bus operators under the title 'One Public Transport System for Cornwall'.
In January 2020, Cornwall Council awarded Go Cornwall Bus an 8-year contract (totalling £192 million) to provide bus services under the scheme.
Launch of Transport for Cornwall brand
In March 2020, Go Cornwall Bus partnered with Cornwall Council and local operators to form the new Transport for Cornwall brand, with plans calling for an additional 130 vehicles. The Transport for Cornwall website went live on 14 March 2020.
Developments since 2020
Organisation and role
Transport for Cornwall is not an organisation, but a partnership of organisations. However, it does has staff, both direct and seconded from participating companies and Cornwall Council.
The partnership is responsible for training drivers and plans routes. It directly runs most of Go Cornwall Bus services and subsidises others.
Transport for Cornwall's funding comes from a mixture of sources including direct central government funding, direct community development funding, indirect funding such as fare schemes, and private investment in vehicles from member companies.
Fares
Any Ticket, Any Bus: Shared ticketing
Under Transport for Cornwall's 'Any Ticket, Any Bus' ticketing system, all participating companies now use one ticket system for journeys inside Cornwall. Despite not being part of the scheme, Stagecoach buses on routes inside Cornwall also accept tickets from other operators, as long as the journey on the origi |
https://en.wikipedia.org/wiki/Alexandra%20Carpentier | Alexandra Carpentier (born 1987) is a French mathematical statistician and machine learning researcher known for her work in stochastic optimization, compressed sensing, and multi-armed bandit problems. She works in Germany as a professor at Otto von Guericke University Magdeburg and head of the Mathematical Statistics & Machine Learning research group.
Education and career
After studying probability theory, statistics, and economics at Paris Diderot University and ENSAE Paris, Carpentier earned a doctorate in 2012 through research at the French Institute for Research in Computer Science and Automation (Inria) in Lille.
She was a postdoctoral researcher at the University of Cambridge from 2012 through 2015, and then in 2015 became a professor at the University of Potsdam, funded through the Emmy Noether program of the German Research Foundation. In 2017 she moved to her present position at Otto von Guericke University Magdeburg.
Recognition
Carpentier received the 2020 von Kaven Award of the German Research Foundation.
References
External links
Home page
1987 births
Living people
French statisticians
Women statisticians
French computer scientists
French women computer scientists
Academic staff of the University of Potsdam
Academic staff of Otto von Guericke University Magdeburg |
https://en.wikipedia.org/wiki/Alessio%20Lomuscio | Alessio Lomuscio is a professor of Safe Artificial Intelligence at the Department of Computing at Imperial College London. His research focuses on the verification of autonomous systems, specifically on providing formal safety guarantees for both Multi-agent systems as well as Machine Learning-enabled systems.
Education and academic career
Alessio Lomuscio grew up in Milan and obtained a Laurea in Electronic Engineering from the Polytechnic University of Milan in 1999. Afterwards, he moved to the University of Birmingham for his Ph.D. on "Knowledge Sharing among Ideal Agents" under the supervision of Mark Ryan, which he submitted in 1999. During his Ph.D., he was supported by a grant of the university's School of Computer Science.
He worked as a lecturer at King's College London and a senior lecturer at University College London before joining Imperial in 2006.
Research
In 2018, Lomuscio was awarded a Royal Academy of Engineering Chair in Emerging Technologies for researching verification techniques for autonomous systems and Artificial Intelligence. He is the head of the Verification of Autonomous Systems (VAS) group at Imperial College London where he leads research efforts that aim to develop methods for verifying the safety of Multi-agent systems. Further research interests include methods for the safety checking of swarm systems as well as Reinforcement Learning-based agents and the development and advancement of formal verification algorithms for Neural Networks.
The group has a number of strong connections with industry and research councils, specifically the Defense Advanced Research Projects Agency's Assured Autonomy program as well as the Centre for Doctoral Training in Safe and Trusted AI. Further projects together with industry and research institutions currently investigate safe algorithms for event forecasting and the safety of AI-enabled personal assistancy systems.
He has co-authored a number of verification and Model Checking toolkits, including:
MCMAS (Symbolic Model Checking for Multi-Agent Systems)
VENUS (Mixed Integer Linear Programming-enabled verification of neural networks with ReLU activation functions)
VeriNet (Symbolic Interval Propagation-based verification of neural networks with ReLU activation functions)
Awards
Alessio Lomuscio is a Fellow of the European Association for Artificial Intelligence. In 2020 he was awarded the title of a Distinguished Member of the Association for Computing Machinery for his outstanding scientific contributions to Computing. In 2018 he was awarded one out of ten highly prestigious Royal Academy of Engineering Chairs in Emerging Technology
References
Artificial intelligence researchers
Italian computer scientists
Fellows of the European Association for Artificial Intelligence
Living people
Year of birth missing (living people)
Academics of the Department of Computing, Imperial College London |
https://en.wikipedia.org/wiki/Eastern%20Kanagawa%20Rail%20Link | The Eastern Kanagawa Rail Link () is a strategic railway project in Japan to improve the railway network connectivity and passenger convenience between the eastern Kanagawa Prefecture and Tokyo Metropolis, as well as access to Tōkaidō Shinkansen at Shin-Yokohama Station.
The new infrastructures of this project are constructed and owned by the Japan Railway Construction, Transport and Technology Agency (JRTT), which is an Independent Administrative Institution governed by the Ministry of Land, Infrastructure, Transport and Tourism, while operation is divided between Sagami Railway (Sōtetsu), JR East and Tōkyū Railways.
In its finalized form, this railway project comprises 2 major portions:
Sōtetsu–JR Link Line (SJLL; ): Connecting Sōtetsu and JR East by a new railroad, Sōtetsu Shin-yokohama Line, constructed between and for entering the Tōkaidō Freight Line. This enables through service from (Sōtetsu) to (JR) via , , and alongside the Yamanote Line. It has entered service since 30 November 2019.
Sōtetsu–Tōkyū Link Line (STLL; ): Connecting Sōtetsu and Tōkyū Railways with a new railroad, which is divided into Sōtetsu Shin-yokohama Line and Tōkyū Shin-yokohama Line, constructed between Hazawa yokohama-kokudai and via Shin-yokohama. Sōtetsu–Tōkyū Shin-yokohama Station serves as an operational boundary between Sōtetsu and Tōkyū. This enables through services from Ebina or (Sōtetsu) to Shibuya (Tōyoko Line, which continues onward to Fukutoshin Line) and (Meguro Line, which continues onward to either Namboku Line or Mita Line). Furthermore, the through-running is possible via Fukutoshin Line to (Tōbu Tōjō Line), or via Namboku Line to (Saitama Rapid Railway Line). This has entered service since 18 March 2023.
Background
Similar railway plans which proposed to connect different existing passenger railways for through service around the eastern Kanagawa regions had been devised before the Eastern Kanagawa Rail Link. In 1983, a team of experts of civil engineering, environmental management, railway, etc. proposed numerous public transit plans in a study of Kanagawa transportation infrastructure provision. Among those plans were new railroads which would connect Sōtetsu and/or with the Tōkaidō Freight Line for Haneda Airport, as well as , Yokohama-Hazawa, Shin-yokohama and to allow through service between Sōtetsu and Tōkyū.
The project which is codenamed the "Eastern Kanagawa Rail Link" began its infancy from the in January 2000. In the initial proposal, a new railroad would connect of Sōtetsu to Ōkurayama of Tōkyū Railways via Shin-yokohama. Originally Sōtetsu, which was only operating within Kanagawa Prefecture and did not have any through service with other railway operators, was not interested in this plan, because a through service via Shin-yokohama would divert passengers away from its hub terminus. However, as the population decline led to ridership drop of Sōtetsu, the rail company became more favorable towards the plan which |
https://en.wikipedia.org/wiki/Aporia%20%28company%29 | Aporia is a machine learning observability platform based in Tel Aviv, Israel. The company has a US office located in San Jose, California.
Aporia has developed software for monitoring and controlling undetected defects and failures used by other companies to detect and report anomalies, and warn in the early stages of faults.
History
Aporia was founded in 2019 by Liran Hason and Alon Gubkin. In April 2021, the company raised a $5 million seed round for its monitoring platform for ML models.
In February 2022, the company closed a Series A round of $25 million for its ML observability platform. Aporia was named by Forbes as the Next Billion-Dollar Company in June 2022. In November, the company partnered with ClearML, an MLOPs platform, to improve ML pipeline optimization.
In January 2023, Aporia launched Direct Data Connectors, a novel technology allowing organizations to monitor their ML models in minutes (previously the process of integrating ML monitoring into a customer’s cloud environment took weeks or more.) DDC (Direct Data Connectors) enables users to connect Aporia to their preferred data source and monitor all of their data at once, without data sampling or data duplication (which is a huge security risk for major organizations.
In April 2023, Aporia announced the company partnered with Amazon Web Services (AWS) to provide more reliable ML observability to AWS consumers by deploying Aporia's architecture to their AWS environment, this will allow customers to monitor their models in production regardless of platform.
References
Companies based in Tel Aviv
Machine learning
Israeli companies established in 2019
Information technology companies of Israel |
https://en.wikipedia.org/wiki/Golden%20record%20%28informatics%29 | In informatics, a golden record is the valid version of a data element (record) in a single source of truth system. It may refer to a database, specific table or data field, or any unit of information used. A golden copy is a consolidated data set, and is supposed to provide a single source of truth and a "well-defined version of all the data entities in an organizational ecosystem". Other names sometimes used include master source or master version.
The term has been used in conjunction with data quality, master data management, and similar topics. (Different technical solutions exist, see master data management).
Master data
In master data management (MDM), the golden copy refers to the master data (master version) of the reference data which works as an authoritative source for the "truth" for all applications in a given IT landscape.
See also
Single source of truth
Single version of the truth
References
Data quality
Data management
Data modeling |
https://en.wikipedia.org/wiki/The%20Radio%20Quarantine | The Radio Quarantine was a Bangalore-based internet community radio launched on 26 March and operated by a network of independent composers and instrument makers.
History
The Radio Quarantine was launched in the city of Bangalore, Karnataka on 26 March 2020, a day after the launch of Radio Quarantine Kolkata and was operated by a network of independent composers and instrument makers called the Indian Sonic Research Organisation. It went live every night from 9 p.m. onwards and its programs were primarily run by the musician Yashas Shetty, one of the members of the network. The radio was hosted on the website radio.artscienceblr.org and operated out of Shetty's residence in Benson Town, Bangalore. Within the first 21 days, the station had attracted a significant audience of listeners both locally and internationally.
The station broadcast music on episodes with specific lockdown related themes such as Isolation, Taking a Break, Dancing on Your Own, etc and hosted discussion shows about ongoing political and social issues in India. The songs featured on the station including a wide rage of genres and time periods, and were compared with those on Radio Quarantine Kolkata in terms of their eclecticism. The genres included both eastern and western classical compositions, contemporary Japanese musicians and Hindi and English pop from the 1980s. The station also accepted song requests and listeners were encouraged to make submissions.
The political ecologist Savita Vijayakumar had collaborated with the station and arranged invitations for a number of guest speakers on its discussion shows, which were hosted by Shetty. The shows have featured discussions on the dangers posed by science with the cosmologist Martin Rees, on the crisis faced by migrants and other workers in midst of the pandemic with the activist and unionist Kavita Krishnan, and on various other topics with individuals such as the sound engineer Umashankar Mantravadi and writer Arshia Sattar, among others.
References
Educational podcasts
Radio stations in Kolkata
Radio stations established in 2020
2020 podcast debuts |
https://en.wikipedia.org/wiki/The%20Pile%20%28dataset%29 | The Pile is an 886.03 GB diverse, open-source dataset of English text created as a training dataset for large language models (LLMs). It was constructed by EleutherAI in 2020 and publicly released on December 31 of that year. It is composed of 22 smaller datasets, including 14 new ones.
Creation
Training LLMs requires sufficiently vast amounts of data that, before the introduction of the Pile, most data used for training LLMs was taken from the Common Crawl. However, LLMs trained on more diverse datasets are better able to handle a wider range of situations after training. The creation of the Pile was motivated by the need for a large enough dataset that contained data from a wide variety of sources and styles of writing.
Compared to other datasets, the Pile's main distinguishing features are that it is a curated selection of data chosen by researchers at EleutherAI to contain information they thought language models should learn and that it is the only such dataset that is thoroughly documented by the researchers who developed it.
Contents and filtering
Artificial Intelligences do not learn all they can from data on the first pass, so it is common practice to train an AI on the same data more than once with each pass through the entire dataset referred to as an "epoch". Each of the 22 sub-datasets that make up the Pile was assigned a different number of epochs according to the perceived quality of the data. The table below shows the relative size of each of the 22 sub-datasets before and after being multiplied by the number of epochs. Numbers have been converted to GB, and asterisks are used to indicate the newly introduced datasets.
EleutherAI chose the datasets to try to cover a wide range of topics and styles of writing, including academic writing, which models trained on other datasets were found to struggle with.
All data used in the Pile was taken from publicly accessible sources. EleutherAI then filtered the dataset as a whole to remove duplicates. Some sub-datasets were also filtered for quality control. Most notably, the Pile-CC is a modified version of the Common Crawl in which the data was filtered to remove parts that are not text, such as HTML formatting and links.
Some potential sub-datasets were excluded for various reasons, such as the US Congressional Record, which was excluded due to its racist content.
Within the sub-datasets that were included, individual documents were not filtered to remove non-English, biased, or profane text. It was also not filtered on the basis of consent, meaning that, for example, the Pile-CC has all of the same ethical issues as the Common Crawl itself. However, EleutherAI has documented the amount of bias (on the basis of gender, religion, and race) and profanity as well as the level of consent given for each of the sub-datasets, allowing an ethics-concerned researcher to use only those parts of the Pile that meet their own standards.
Use
The Pile was originally developed to train Eleuther |
https://en.wikipedia.org/wiki/Spatial%20neural%20network | Spatial neural networks (SNNs)Spatial neural networks (SNNs) constitute a supercategory of tailored neural networks (NNs) for representing and predicting geographic phenomena. They generally improve both the statistical accuracy and reliability of the a-spatial/classic NNs whenever they handle geo-spatial datasets, and also of the other spatial (statistical) models (e.g. spatial regression models) whenever the geo-spatial datasets' variables depict non-linear relations. Examples of SNNs are the OSFA spatial neural networks, SVANNs and GWNNs.
History
Openshaw (1993) and Hewitson et al. (1994) started investigating the applications of the a-spatial/classic NNs to geographic phenomena. They observed that a-spatial/classic NNs outperform the other extensively applied a-spatial/classic statistical models (e.g. regression models, clustering algorithms, maximum likelihood classifications) in geography, especially when there exist non-linear relations between the geo-spatial datasets' variables. Thereafter, Openshaw (1998) also compared these a-spatial/classic NNs with other modern and original a-spatial statistical models at that time (i.e. fuzzy logic models, genetic algorithm models); he concluded that the a-spatial/classic NNs are statistically competitive. Thereafter scientists developed several categories of SNNs – see below.
Spatial models
Spatial statistical models (aka geographically weighted models, or merely spatial models) like the geographically weighted regressions (GWRs), SNNs, etc., are spatially tailored (a-spatial/classic) statistical models, so to learn and model the deterministic components of the spatial variability (i.e. spatial dependence/autocorrelation, spatial heterogeneity, spatial association/cross-correlation) from the geo-locations of the geo-spatial datasets’ (statistical) individuals/units.
Categories
There exist several categories of methods/approaches for designing and applying SNNs.
One-Size-Fits-all (OSFA) spatial neural networks, use the OSFA method/approach for globally computing the spatial weights and designing a spatial structure from the originally a-spatial/classic neural networks.
Spatial Variability Aware Neural Networks (SVANNs) use an enhanced OSFA method/approach that locally recomputes the spatial weights and redesigns the spatial structure of the originally a-spatial/classic NNs, at each geo-location of the (statistical) individuals/units' attributes' values. They generally outperform the OSFA spatial neural networks, but they do not consistently handle the spatial heterogeneity at multiple scales.
Geographically Weighted Neural Networks (GWNNs) are similar to the SVANNs but they use the so-called Geographically Weighted Model (GWM) method/approach by Lu et al. (2023), so to locally recompute the spatial weights and redesign the spatial structure of the originally a-spatial/classic neural networks. Like the SVANNs, they do not consistently handle spatial heterogeneity at multiple scales.
Applications |
https://en.wikipedia.org/wiki/Mar%C3%ADa%20Luisa%20Bonet | María Luisa Bonet Carbonell is a Spanish computer scientist interested in logic in computer science, including proof complexity and algorithms for the maximum satisfiability problem. She is a professor of computer science at the Polytechnic University of Catalonia.
Education and career
Bonet is originally from Barcelona. After earning a degree in philosophy at the University of Barcelona in 1984, she became a Fulbright Fellow at the University of California, Berkeley. She earned a master's degree in mathematics there in 1987, and became a doctoral student of Samuel Buss, studying theoretical computer science. Buss moved to the University of California, San Diego in 1988, but Bonet remained at Berkeley; her 1991 doctoral dissertation, The Lengths of Propositional Proofs and the Deduction Rule, listed both Buss and Leo Harrington as co-advisors.
Bonet did postdoctoral research as a Warchawski Assistant Professor at the University of California, San Diego, at the University of Pennsylvania, and at DIMACS in New Jersey. She returned to Barcelona in 1996, to take a position in the computer science department of the Polytechnic University of Catalonia. She became a full professor there in 2007.
Selected publications
; preliminary version in 27th Symposium on Theory of Computing (STOC 1995),
; based on conference papers in SAT 2009, CCIA 2009, AAAI 2010, and CP 2012
References
External links
Home page
Year of birth missing (living people)
Living people
Spanish computer scientists
Spanish women computer scientists
University of Barcelona alumni
Fulbright alumni
University of California, Berkeley alumni
Academic staff of the Polytechnic University of Catalonia |
https://en.wikipedia.org/wiki/Generative%20artificial%20intelligence | Generative artificial intelligence (also generative AI or GenAI) is artificial intelligence capable of generating text, images, or other media, using generative models. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.
In the early 2020s, advances in transformer-based deep neural networks enabled a number of generative AI systems notable for accepting natural language prompts as input. These include large language model chatbots such as ChatGPT, Bing Chat, Bard, and LLaMA, and text-to-image artificial intelligence art systems such as Stable Diffusion, Midjourney, and DALL-E.
Generative AI has uses across a wide range of industries, including art, writing, script writing, software development, product design, healthcare, finance, gaming, marketing, and fashion.
Investment in generative AI surged during the early 2020s, with large companies such as Microsoft, Google, and Baidu as well as numerous smaller firms developing generative AI models. However, there are also concerns about the potential misuse of generative AI, including cybercrime or creating fake news or deepfakes which can be used to deceive or manipulate people.
History
The academic discipline of artificial intelligence was founded at a research workshop at Dartmouth College in 1956, and has experienced several waves of advancement and optimism in the decades since. Since its founding, researchers in the field have raised philosophical and ethical arguments about the nature of the human mind and the consequences of creating artificial beings with human-like intelligence; these issues have previously been explored by myth, fiction and philosophy since antiquity. These concepts of automated art date back at least to the automata of ancient Greek civilization, where inventors such as Daedalus and Hero of Alexandria were described as having designed machines capable of writing text, generating sounds, and playing music. The tradition of creative automatons has flourished throughout history, such as Maillardet's automaton, created in the early 1800s.
Since the founding of AI in the 1950s, artists and researchers have used artificial intelligence to create artistic works. By the early 1970s, Harold Cohen was creating and exhibiting generative AI works created by AARON, the computer program Cohen created to generate paintings.
Markov chains have long been used to model natural languages since their development by Russian mathematician Andrey Markov in the early 20th century. Markov published his first paper on the topic in 1906, and analyzed the pattern of vowels and consonants in the novel Eugeny Onegin using Markov chains. Once a Markov chain is learned on a text corpus, it can then be used as a probabilistic text generator.
The field of machine learning often uses statistical models, including generative models, to model and predict data. Beginning in the late 2000s, the emergence of deep l |
https://en.wikipedia.org/wiki/Few-shot%20learning | Few-shot learning and one-shot learning may refer to:
Few-shot learning (natural language processing)
One-shot learning (computer vision) |
https://en.wikipedia.org/wiki/AI%20boom | The AI boom (also known as the AI spring) refers to an ongoing period of rapid and unprecedented development in the field of artificial intelligence, with the generative AI race being a key component of this boom, which began in earnest with the founding of OpenAI in 2016 or 2017. OpenAI's generative AI systems, such as its various GPT models (starting in 2018) and DALL-E (2021), have played a significant role in driving this development.
In 2022, large language models were improved to where they could be used for chatbot applications; text-to-image-models were at a point where they were almost indiscernible from human-made imagery; and speech synthesis software was able to replicate human speech efficiently.
Over the course of late 2022 and 2023, dozens of new websites and AI chatbots were made live as Big Tech has tried to gain a foothold in the market and has led to an unprecedented increase in the ubiquity of AI tools.
Public reaction to the AI boom has been mixed, with some parties hailing the new possibilities that AI creates, its potential for benefiting humanity, and sophistication, while other parties denounced it for threatening job security, being 'uncanny' in its responses, and for giving flawed responses based on the programming.
Language model
GPT-3 is a large language model that was released in 2020 by OpenAI and is capable of generating high-quality human-like text that can be hard to determine whether it was written by a human or not. An upgraded version called GPT-3.5 was used in ChatGPT, which later garnered attention for its detailed responses and articulate answers across many domains of knowledge. A new version called GPT-4 was released on March 14, 2023, and was used in the Microsoft Bing search engine. Other language models have been released such as PaLM by Google and LLaMA by Meta Platforms.
In January 2023, DeepL Write, an AI-based tool to improve monolingual texts, was released.
Text-to-image models
One of the first text-to-image models to capture widespread public attention was OpenAI's DALL-E, a transformer system announced in January 2021. A successor capable of generating more complex and realistic images, DALL-E 2, was unveiled in April 2022, followed by Stable Diffusion, an open source alternative, releasing in August 2022.
Following other text-to-image models, language model-powered text-to-video platforms such as DAMO, Make-A-Video, Imagen Video and Phenaki can generate video from text and/or text/image prompts.
Speech synthesis
15.ai was one of the first publicly available speech synthesis software that allowed people to generate natural emotive high-fidelity text-to-speech voices from an assortment of fictional characters from a variety of media sources. It was first released on March 2020. ElevenLabs unveiled a website where users are able to upload voice samples to that allowed it to generate voices from them. The company was criticized after users were able to abuse its software to generate cont |
https://en.wikipedia.org/wiki/Round%20%28cryptography%29 | In cryptography, a round or round function is a basic transformation that is repeated (iterated) multiple times inside the algorithm. Splitting a large algorithmic function into rounds simplifies both implementation and cryptanalysis.
For example, encryption using an oversimplified three-round cipher can be written as , where is the ciphertext and is the plaintext. Typically, rounds are implemented using the same function, parameterized by the round constant and, for block ciphers, the round key from the key schedule. Parameterization is essential to reduce the self-similarity of the cipher, which could lead to slide attacks.
Increasing the number of rounds "almost always" protects against differential and linear cryptanalysis, as for these tools the effort grows exponentially with the number of rounds. However, increasing the number of rounds does not always make weak ciphers into strong ones, as some attacks do not depend on the number of rounds.
The idea of an iterative cipher using repeated application of simple non-commutating operations producing diffusion and confusion goes as far back as 1945, to the then-secret version of C. E. Shannon's work "Communication Theory of Secrecy Systems"; Shannon was inspired by mixing transformations used in the field of dynamical systems theory (cf. horseshoe map). Most of the modern ciphers use iterative design with number of rounds usually chosen between 8 and 32 (with 64 and even 80 used in cryptographic hashes).
For some Feistel-like cipher descriptions, notably the one of the RC5, a term "half-round" is used to define the transformation of part of the data (a distinguishing feature of the Feistel design). This operation corresponds to a full round in traditional descriptions of Feistel ciphers (like DES).
Round constants
Inserting round-dependent constants into the encryption process breaks the symmetry between rounds and thus thwarts the most obvious slide attacks. The technique is a standard feature of most modern block ciphers. However, a poor choice of round constants or unintended interrelations between the constants and other cipher components could still allow slide attacks (e.g., attacking the initial version of the format-preserving encryption mode FF3).
Many lightweight ciphers utilize very simple key scheduling: the round keys come from adding the round constants to the encryption key. A poor choice of round constants in this case might make the cipher vulnerable to invariant attacks; ciphers broken this way include SCREAM and Midori64.
Optimization
Daemen and Rijmen assert that one of the goals of optimizing the cipher is reducing the overall workload, the product of the round complexity and the number of rounds. There are two approaches to address this goal:
local optimization improves the worst-case behavior of a single round (two rounds for Feistel ciphers);
global optimization optimizes the worst-case behavior of more than one round, allowing the use of less sophisticated |
https://en.wikipedia.org/wiki/Pyusawhti%20militias | Pyusawhti militias (, also spelt Pyu Saw Htee) are loosely organised networks of pro-military and pro-junta villagers operating in Myanmar. The term was first used in 1956, after U Nu's government created Pyusawhti paramilitary units to assist the military with counterinsurgency operations. After a coup in 1958, the army tried to disband them, but they instead evolved into the Anti-Fascist People's Freedom League party's personal militias. They were more successfully replaced with Kakweye units after the 1962 coup. In the 2000s the groups re-emerged out of existing local networks of Buddhist nationalists, members of the military's proxy party, Union Solidarity and Development Party, and army veterans. The militias became increasingly active in 2021, when junta-appointed ward and village tract administrators and offices were attacked throughout the country. Observers have noted ties with extremist nationalist groups like the Patriotic Association of Myanmar.
History
The name comes from Pyusawhti, a legendary king in Burmese history. In 1956, the Burmese government under U Nu devised a local village and town defence scheme, which used paramilitary units called 'Pyusawhti' to assist the Burmese military in counterinsurgency operations. The army attempted to disband and disarm them after the 1958 coup with mixed success. The Pyusawhti quickly became the personal militaries of local leaders appoint by the Anti-Fascist People's Freedom League, the dominant political party at the time. They would rampage rural areas to force votes during the 1956 and 1960 elections. After the 1962 Burmese coup d'état, Ne Win would replace them with his own Kakweye () militia units, making the Pyusawhti obsolete.
The term 'Pyusawhti' re-emerged in the 2000s, used by Burmese media in reference pro-military networks and groups. Burmese security forces had previously deployed similar networks, including swan ar shin (, ), during the crackdown on the Saffron Revolution in 2007. Observers have noted ties with extremist nationalist groups like the Patriotic Association of Myanmar.
During the 2021 Myanmar civil war, the Pyusawhti militias often fought with Tatmadaw troops and helped to occupy contested areas. In the wake of the 2021 Myanmar coup d'état and ensuing Myanmar civil war (2021–present), Burmese security forces have leveraged Pyusawhti militias for reinforcements, military intelligence, and knowledge of local terrain. These groups emerged out of existing local networks of Buddhist nationalists, members of the military's proxy party, Union Solidarity and Development Party, and army veterans in the lead-up to the 2020 Myanmar general election. The militias became increasingly active in May 2021 in response to the resistance's attacks on junta-appointed ward and village tract administrators and offices. Police forces armed the otherwise poorly armed Pyusawhti militias with seized hunting guns and other older weapons.
References
External links
Crisis Group report |
https://en.wikipedia.org/wiki/WALL-E%20%28disambiguation%29 | WALL-E is a 2008 American computer-animated film.
WALL-E may also refer to:
WALL-E (character), the title character of the film
WALL-E (soundtrack), the soundtrack to the film
WALL-E (video game), a video game based on the film |
https://en.wikipedia.org/wiki/Confidential%20computing | Confidential computing is a security and privacy-enhancing computational technique focused on protecting data in use. Confidential computing can be used in conjunction with storage and network encryption, which protect data at rest and data in transit respectively. It is designed to address software, protocol, cryptographic, and basic physical and supply-chain attacks, although some critics have demonstrated architectural and side-channel attacks effective against the technology.
The technology protects data in use by performing computations in a hardware-based trusted execution environment (TEE). Confidential data is released to the TEE only once it is assessed to be trustworthy. Different types of confidential computing define the level of data isolation used, whether virtual machine, application, or function, and the technology can be deployed in on-premise data centers, edge locations, or the public cloud. It is often compared with other privacy-enhancing computational techniques such as fully homomorphic encryption, secure multi-party computation, and Trusted Computing.
Confidential computing is promoted by the Confidential Computing Consortium (CCC) industry group, whose membership includes major providers of the technology.
Properties
Trusted execution environments (TEEs) "prevent unauthorized access or modification of applications and data while they are in use, thereby increasing the security level of organizations that manage sensitive and regulated data". Trusted execution environments can be instantiated on a computer's processing components such as a central processing unit (CPU) or a graphics processing unit (GPU). In their various implementations, TEEs can provide different levels of isolation including virtual machine, individual application, or compute functions.
Typically, data in use in a computer's compute components and memory exists in a decrypted state and can be vulnerable to examination or tampering by unauthorized software or administrators. According to the CCC, confidential computing protects data in use through a minimum of three properties:
Data confidentiality: "Unauthorized entities cannot view data while it is in use within the TEE".
Data integrity: "Unauthorized entities cannot add, remove, or alter data while it is in use within the TEE".
Code integrity: "Unauthorized entities cannot add, remove, or alter code executing in the TEE".
In addition to trusted execution environments, remote cryptographic attestation is an essential part of confidential computing. The attestation process assesses the trustworthiness of a system and helps ensure that confidential data is released to a TEE only after it presents verifiable evidence that it is genuine and operating with an acceptable security posture. It allows the verifying party to assess the trustworthiness of a confidential computing environment through an "authentic, accurate, and timely report about the software and data state" of that environment. "Hardware- |
https://en.wikipedia.org/wiki/Zaporizhzhia%20Tram | The Zaporizhzhia Tram is a tram network in the city of Zaporizhzhia, Ukraine. The network comprises 7 routes spanning 157.9 km of which 99.345 km are in use. The tram began operating on July 17, 1932. Service on the system has been interrupted but continued operating through the Russian Invasion of Ukraine 2022. The system carried 100,500 daily riders as of 2020.
History
Pre-Soviet Revolution
The idea of developing a tram line in Zaporizhzhia was first put forward in 1898. A proposal for the construction of an electric tram line was submitted to the Zemstvo Assembly from the Aleksandriv City Duma. According to the project of the Odesa businessman Brodsky, the line was supposed to run from the city through the Schoenwiese colony to the station of the Kursk-Kharkiv-Sevastopol railway. The idea was received positively, but the matter did not reach construction Later, attempts to arrange a tram in Aleksandriv were also accepted by the mayor Felix Movchanovsky. On September 29–30, 1913, Aleksandriv was visited by Belgian engineers. They considered Mr. Niebuhr's project to connect the city with the Aleksandriv Sanatorium by electric tram. The city administration considered this issue, but historical events stood in the way of further material development. With the beginning of the construction of the Dnieper Hydroelectric Station, the issue of transportation for the city's residents arose, because of the town's rapid growth. In 1929, the population of Zaporizhzhia and Pavlo-Kickas (then the name of the settlement on the Right Bank of the Dnieper) numbered 82,500 people.
Pre-War Times
In the summer of 1931, work began on the construction of the Dniprobud— Zaporizhzhia tram line. At the time of the launch of the first phase of the tram connection, about 70,000 m³ of earthworks were carried out, up to 26,000 m³ of ballast was removed, three bridges with iron trusses were built and 18 km of tracks were laid. On 17 July 1932, at 05:00 in the morning, the first carriages started regular flights between the old city (from Volya Square) and the Dnieper Hydroelectric Station. In October of the same year, the line was extended to the South Station. In 1932, the tram carried more than 4 million passengers. 1933 witnessed the rapid growth of the tram network with lines opening in May, to the wharf and in June with a line connecting the Southern Highway to the Zaporizhstal office.
Rapid growth continued between 1934 and 1939. In 1934, 3 new lines were opened. The first in May, when a line was opened along Zhukovsky and Zhovtneva streets to the Baranov Plant. In September, the line over the Dnieper Hydroelectric Station dam to the Right Bank was opened. The trams at this time had steering wheels at the back and front, the driver changed positions at the terminuses. Trams ran every hour from 06:00 to 01:00. In November, the line to RMZ (Repair and Mechanical Plant) was opened.
Between 1936 and 1940 additional lines and extensions were added. In 1936, a line was |
https://en.wikipedia.org/wiki/Synthetic%20population | Synthetic population is artificial population data that fits the distribution of people and their relevant characteristics living in a specified area as according to the demographics from census data. Synthetic populations are often a basis for microsimulation or also agent based models of population behavior. The later can be used for simulation of disease transmission, traffic and similar.
Synthetic population are initial sets of agents with detailed demographic and socioeconomic attributes, which allow execution of agent-based microsimulation. Due to privacy reasons and data limitations and restrict observability of entire real population. Therefore, the population synthesis procedure is applied, which expands a small data sample of population by using auxiliary data, to generate a synthetic population as close as possible to the real population in its characteristics.
Examples of application
Chicago Social Interaction Model or chiSIM is an agent-based simulation of individuals and locations in Chicago along with their daily behavior. The population is modeled as a set of heterogeneous, interacting, adaptive agents. These agents are the population of all the residents of Chicago.
In 2023, World Data Lab created a synthetic population for New York using microdata and summary statistics. It was use to calculate the poverty levels among the neighborhoods for targeted social programs.
References
Demographics
Agent-based model
Microsimulation |
https://en.wikipedia.org/wiki/Microsoft%20365%20Copilot | Microsoft 365 Copilot is an artificial intelligence assistant feature introduced by Microsoft on March 16, 2023. This tool, designed for Microsoft 365 applications and services, Edge, and Windows, leverages the advanced capabilities of OpenAI's GPT-4 large language models (LLMs). It also incorporates Microsoft Graph to transform user text input into content across various Microsoft 365 applications, including Word, Excel, PowerPoint, Outlook, and Teams.
The primary marketing focus for Copilot is enhancing productivity. As of its announcement date, the tool had been tested by 20 initial users. By May 2023, Microsoft had broadened its reach to 600 customers who were willing to pay for early access, and concurrently, new Copilot features were introduced to the office apps and services.
Despite its potential benefits, public concerns have been raised about the chatbot's potential for hallucinations and racial or gender bias. However, experts maintain that Copilot could revolutionize the way Microsoft users work and collaborate.
In a significant development announced at the Build 2023 conference, Microsoft revealed plans to integrate the AI assistant Copilot into Windows 11. This integration allows users to access the Windows Copilot service directly through the taskbar, further expanding the tool's accessibility and potential impact on user productivity.
Microsoft Graph
According to Jared Spataro, the head of Microsoft 365, Copilot utilizes Microsoft Graph, an API that evaluates the context and available Microsoft 365 user data before modifying and sending the user prompt to the LLM. After receiving the response from the LLM, Microsoft Graph performs additional context-specific processing before sending it to Microsoft 365 apps to generate actual content.
Features
Word
According to Microsoft, Copilot can be used to generate and edit text in Word documents based on user prompts. Users can also ask Copilot to push rewrite suggestions that strengthen the arguments of highlighted texts.
Excel
The company also claims that Copilot can assist users with data analysis in Excel spreadsheets by formatting data, creating graphs, generating PivotTables, identifying trends, and summarizing information. Copilot can also guide users using Excel commands and can suggest formulas to investigate user questions.
PowerPoint
Copilot, according to Microsoft, is able to create PowerPoint presentations that summarize information from user-selected Word documents and Excel spreadsheets or a user prompt. Additionally, this tool can adjust the presentation style, text formatting, and animation timing based on user prompts to eliminate the need for the user to make manual changes. Copilot is also able to shorten lengthy presentations.
Outlook
In Outlook, Microsoft claims that Copilot can draft emails with varying length and tone based on user input. To draft these emails, Copilot can pull relevant information from other emails. Copilot is also able to summarize co |
https://en.wikipedia.org/wiki/High%20Heat | High Heat may refer to
High Heat (novel) (2003), American young adult novel
High Heat (2014 TV show), a sports-themed talk show on MLB Network
High Heat (TV series) (2022), Mexican drama streaming series
High Heat (film) (2023), American action film
See also
High Heat Major League Baseball (1998-2003), baseball video game series |
https://en.wikipedia.org/wiki/Dinesh%20Verma | Dinesh Verma FREng is an Indian-born American computer scientist. He is an IBM Fellow working at IBM Thomas J Watson Research Center, Yorktown Heights, NY where he conducts research on technologies at the intersection of the Internet of Things, Artificial Intelligence and Distributed Systems. He concurrently serves as the Technical Committee Chair/Chief Technology Officer of Enterprise Neurosystems Group, an open-source consortium focused on distributed enterprise AI.
Education
He received his Bachelor’s in Computer Science from IIT Kanpur in 1987, doctorate in Computer Networking from University of California, Berkeley in 1992, and master in Management of Technology from Brooklyn Polytechnic in 1998. He joined IBM Thomas J Watson Research Center in 1992.
Technical achievements
He has authored several technical papers with his works having a H-index of 50 and an I10-index of 174. He holds over 200 U.S. Patents and has authored multiple technical books and several children’s books to teach Indian languages.
During his doctoral years, Dinesh was one of the early members of the Tenet group formed by Prof. Domenico Ferrari. His work with Ferrari on real-time communications in networks was one of the seminal papers for introducing Quality of Service in computer networks and the foundation (Scheme 0) for much of the work for Tenet research group.
After joining IBM Research, Dinesh pioneered critical advances in the area of policy based management, which radically simplified management of computer systems networks industry-wide, IBM storage area network products, and IBM mainframes by application of symbolic AI methods. This work led to his appointment as an IEEE Fellow.
According to his citation for IBM Fellow nomination, Dinesh is their leading researcher in computer communications networks within IBM, and his significant contributions include an optimizer for Wi-Fi networks, enabling edge applications for cellular networks, and leadership in network science.
Dinesh was instrumental in IBM getting selected to lead the International Technology Alliance in Network Sciences NIS-ITA. As leader of this trans-Atlantic alliance, he made key contributions to areas of Policy-based Security Management and Quality of Information. For the successful leadership of the program and improving research collaboration between the military, industrial and academic research groups of the two countries, he was appointed as an International Fellow of the Royal Academy of Engineering. He transitioned technologies from the program to IBM products including Tivoli Netcool/IMPACT, and Application & Services Platform for Networks (ASPN). Dinesh subsequently led the effort to get IBM selected to lead the DAIS-ITA program which won the 2021 U.S. – UK Science and Technology Stocktake UK Team Award.
Among his many roles at IBM, he has served as head of Distributed AI, CTO of Edge Computing, the strategist for 6G Communications at IBM, manager of IT & Wireless Convergence a |
https://en.wikipedia.org/wiki/Payments%20Network%20Malaysia | Payments Network Malaysia Sdn Bhd (PayNet) is the national payments network and shared central infrastructure for Malaysia’s financial markets. It was formed from the merger between the Malaysian Electronic Payment System (MEPS) and Malaysian Electronic Clearing Corporation Sdn Bhd (MyClear) on 1 August 2017. PayNet is Malaysia's premier payments network and central infrastructure for financial markets.
Bank Negara Malaysia (BNM) owns a majority share in PayNet, along with eleven other local financial institutions as joint shareholders.
History
PayNet was formed on 1 August 2017 from the merger of MEPs and My Clear.
Services
The company's current service portfolio includes the following:
eSPICK – The national cheque clearing system of Malaysia.
JomPAY – A payment scheme for paying utility bills
FPX – A direct-to-bank payment gateway.
DuitNow – Instant account-to-account payment across participating bank and E-wallets.
DuitNow QR – QR code payment scheme, a contactless payment method.
See also
National Payments Corporation of India
MAS Electronic Payment System
PayNet
References
External links
paynet.my
jompay.com.my
duitnow.my
Payment service providers
Payment networks
Payment systems organizations
Banking in Malaysia |
https://en.wikipedia.org/wiki/Samsung%20Galaxy%20M14%205G | The Samsung Galaxy M14 5G is an Android-based smartphone designed and manufactured by Samsung Electronics. This phone was announced on March 8, 2023.
References
Android (operating system) devices
Samsung mobile phones
Phablets
Mobile phones introduced in 2023
Samsung Galaxy
Mobile phones with multiple rear cameras |
https://en.wikipedia.org/wiki/RedTraSex | La Red de Trabajadoras Sexuales de Latino América y el Caribe (RedTraSex) is a transnational network of female sex workers across 15 Latin American countries. The network was born at the "Una Sola Voz: Encuentro Latinoamericano de Trabajadores Sexuales" conference in October 1997 in Heredia, Costa Rica. The organization's central headquarters is currently located in Argentina and their Executive Secretary is Elena Eva Reynaga. Since its establishment, RedTraSex, aims to achieve nation state recognition for its members demanding that they be protected as legitimate workers and have access to adequate health services, work and social benefits.
The organization uses a feminist rights-based approach, to connect its members with programs addressing their needs. It aims to strengthen unity amongst its members through communication platforms, awareness campaigns, supporting community-based organizations, and publishing research on issues faced by sex workers. It is particularly significant for its transnational impact in the regions.
Outreach campaigns
Feminist scholars Kate Hardy and Megan Rivers-Moore suggest that the current movement for sex worker unionization in Latin America is directly linked to RedTraSex. This transnational organization plays a crucial role in supporting and financing activist movements, and provides guidance to sex workers interested in forming unions. RedTraSex also organizes workshops on governance, human rights, gender, and self-esteem to help members gain international exposure, share ideas, identify commonalities, and work towards achieving autonomy in unionization. The organization has established four sex worker unions and is politically recognized by Colombia, Guatemala, Nicaragua and Peru.
RedTraSex campaigns for fair access to medical services for sex workers. It urges health ministries to offer discrimination-free services and promotes health protocols and prevention measures. In collaboration with AMMAR (Asociacion de Mujeres Meretrices de Argentina), RedTraSex played a key role in establishing "El Centro de Salud Sandra Cabrera" on September 13, 2006. The organization has attended several international conferences related to the HIV/AIDS epidemic. In 2007, members set up booths and presented their report "Un Movimiento de Tacones Altos: Mujeres Trabajadoras Sexuales y Activistas" at the Fourth Forum of HIV & AIDS in Buenos Aires, Argentina. At the World HIV Conference in Mexico in 2008, Elena Reygoza delivered a speech to raise awareness about the impact of insufficient health resources on the epidemic.
From 2012 to 2017, RedTraSex initiated the "El Sueño no Soñado de Objetos de Estudio a Sujetas de Acción" project, which was funded by Fondo Mundial. The goal of the project was to provide sex workers with work equipment that would enable them to conduct investigations, research, and data collection. As a result, the project created a map of sex work policies and legislation, which empowered sex workers to ser |
https://en.wikipedia.org/wiki/SIGLA | States and Institutions of Governance in Latin America (SIGLA) is an online multilingual database that provides systematic information on legal and political institutions in Latin America. SIGLA is hosted by the Center for Latin American Studies (CLAS) within the Edmund A. Walsh School of Foreign Service at Georgetown University in Washington, D.C.
Launched in April 2022, the SIGLA database serves as a successor to the Political Database of the Americas (PDBA), also based at CLAS within Georgetown University's School of Foreign Service.
History
The PBDA launched in 1995 as a joint project between Georgetown's Center for Latin American Studies and the Secretariat for Political Affairs at the Organization of American States. Developed soon after a wave of democratization in Latin America, the PDBA focused on constitutions and democratic institutions in the Americas. In 2010, new investment in the project ceased and the PDBA was decommissioned, leaving a vacuum for scholars and others interested in Latin American political institutions. SIGLA launched (beta version) in April 2022 as its successor.
SIGLA narrows the PDBA's geographic focus to 20 Latin American countries and expands its substantive focus to include data on legal as well as political institutions, reflecting the importance of the rule of law and the quality of democratic governance, as well as political stability, in the region of Latin America. The beta version of the SIGLA database, at launch, included current information in English on the Constitution, Codes, the Legislature, the Executive, and Elections in Brazil, Colombia, and Mexico, as well as on a range of Latin American and Latin America-focused International Institutions.
Mission
Free to use, SIGLA democratizes access to systematic and comparable data about states and institutions of governance in the Latin American region. In so doing, SIGLA aims to enhance government transparency and empower scholars, government actors, business leaders, and civil society organizations in the region and around the world to conduct empirical research and make well-informed policy, commercial, and advocacy decisions.
Objective
SIGLA seeks to provide accurate and authoritative information on key aspects of political and legal institutions in Latin America. In addition, SIGLA identifies the key laws, decrees, and other elements of the legal framework governing the actions and procedures of each institution.
Ultimately, SIGLA will provide cross-nationally comparable, current and historical, qualitative and quantitative data on dozens of institutions of governance. The database will include information on 20 Latin American countries in English, Spanish, and Portuguese. Over time, SIGLA will also identify institutional partners in Latin America with which to collaborate on data collection and interpretation.
Usage and methodology
Through an iterative process, SIGLA established a list of basic variables relevant for each institution inc |
https://en.wikipedia.org/wiki/Lo%20Nuestro%20Award%20for%20Album%20of%20the%20Year | The Lo Nuestro Award for Album of the Year is an honor presented annually since 2016 by the American television network Univision at the Lo Nuestro Awards. The award was established to recognize the quality of recorded vocal or instrumental albums of Latin music. Nominees and winners are selected based on performance on the Billboard Latin music charts and social media polls, winners are selected via online voting. The trophy awarded is in the shape of a treble clef.
Throughout its history, the Lo Nuestro Awards originally always awarded albums by musical genre, but without any general category. The Album of the Year category was first added in 2016 and has been awarded to date with the exception of 2018 and 2019. The 30th ceremony was held in 2018, and a special program was made instead of voteable categories, while in 2019 it was decided to omit all album categories.
Winners and nominees
See also
Latin Grammy Award for Album of the Year
Billboard Latin Music Award for Top Latin Album of the Year
References
External links
Album
Album awards
Awards established in 2016
2016 establishments in the United States |
https://en.wikipedia.org/wiki/Codimex%20CD-6809 | The Codimex CD-6809 was an 8-bit home computer produced in Brazil by the company Codimex Imp.Exp. de Computadores Ltda from Porto Alegre. It was introduced in early 1983, during the Brazilian "Market Reserve" period, and based on the TRS-80 Color Computer.
The CD-6809 was the first Brazilian home computer compatible with the TRS-80 Color line. It was marketed as a computer for small business, entertainment and self employed professionals, and was sold with a 149-page user manual.
Around 380 units were produced at the Porto Alegre plant. The machine can be emulated under MAME.
See also
Motorola 6809
CP 400 COLOR
LZ Color 64
TRS-80 Color Computer
References
Computer-related introductions in 1983
Goods manufactured in Brazil
Personal computers
Products introduced in 1983
TRS-80 Color Computer |
https://en.wikipedia.org/wiki/LZ%20Color%2064 | The Color 64 was an 8-bit home computer produced in Brazil by the Rio de Janeiro company Novo Tempo / LZ Equipamentos between 1983 and 1986. It was one of the many machines based on the TRS-80 Color Computer introduced during the Brazilian "Market Reserve", like the Codimex CD-6809 or Prológica CP 400 COLOR.
History
Launched in mid-1983, the Color 64 was the second Brazilian TRS-80 Color Computer clone. The production line was installed in the old premises of Cervejaria Skol in Rio de Janeiro.
Due to its graphic and sound capabilities, Novo Tempo/LZ developed the "Computational Resources Switch" ("Comutador de Recursos Computacionais"), a piece of hardware designed for the educational market, allowing the creation of a small computer network. With it, a teacher could control ten other Color 64s, sharing programs and a printer.
Despite being one of the first TRS-80 Color clones in Brazil, its success was limited to the Rio de Janeiro state, due to limited marketing on the rest of the country. According to Folha de S. Paulo, the Color 64 had a retail price of 1.2 million Cr$ in July 1984.
To publicize TRS-80 Color Computers in Brazil and increase Color 64 sales, Novo Tempo/LZ encouraged the creation of user clubs in Rio de Janeiro. The largest one was "Clube Color", operating on the premises of the Micromaq software-house.
Production of the Color 64 was discontinued in 1986, with the arrival of MSX machines offering better color and sound capabilities.
Technical features
The basic features of the LZ Color 64 are similar to the TRS-80 Color Computer.
CPU: Motorola 6809E , 890 kHz to 1.8 MHz
Memory:
ROM: 16 KBytes (containing Color BASIC and Extended Color BASIC)
RAM: 64 KBytes
Keyboard:
Built-in, 53-keys
Display: Motorola 6847, 9 colors
Text mode (with 32 x 16 characters)
Low resolution graphics (with 64 x 32 pixels)
Medium and high resolution graphics (up to 256 x 192 pixels, 2 colors per pixel)
Expansion port (cartridges, disk interfaces, etc.)
Other ports:
Composite video monitor (PAL-M color TV using an external modulator)
RS-232C serial port
Analogue or digital joysticks
Cassette recorder (1500 baud, with remote engine control)
See also
Motorola 6809
CP 400 COLOR
Codimex CD-6809
TRS-80 Color Computer
References
Computer-related introductions in 1983
Goods manufactured in Brazil
Personal computers
Products introduced in 1983
TRS-80 Color Computer |
https://en.wikipedia.org/wiki/Dana%20Fisman | Dana Fisman is an Israeli computer scientist whose research has included work on the reconstruction of automaton-based models in computational learning theory including induction of regular languages, on temporal logic and the Property Specification Language, and on program synthesis. She is an associate professor of computer science at Ben-Gurion University of the Negev.
Education and career
Fisman earned a bachelor's degree from the Technion – Israel Institute of Technology in 1997. She went to the Weizmann Institute of Science for graduate study in computer science, earning both a master's degree and a Ph.D. there. She completed her doctorate in 2006, under the supervision of Amir Pnueli.
After her doctoral work, she became a postdoctoral researcher at the Hebrew University of Jerusalem. Meanwhile, she had been working in industry at the IBM Haifa Research Lab from 1997 to 2009; there she became one of the developers of the Property Specification Language for temporal logic. She moved to Synopsys, from 2009 to 2013.
In 2013 she returned to academia. She became a visiting fellow at Yale University from 2013 to 2016, and a research scientist at the University of Pennsylvania from 2014 to 2016. At the University of Pennsylvania she was associate director of a project on program synthesis headed by Rajeev Alur. In 2016 she obtained a position as assistant professor of computer science at Ben-Gurion University, and in 2021 she was promoted to associate professor.
Book
Fisman is coauthor, with Cindy Eisner, of the book A Practical Introduction to PSL (Springer, 2006).
References
External links
Home page
Year of birth missing (living people)
Living people
Israeli computer scientists
Israeli women computer scientists
Technion – Israel Institute of Technology alumni
Weizmann Institute of Science alumni
Academic staff of Ben-Gurion University of the Negev |
https://en.wikipedia.org/wiki/Fisman | Fisman is a surname. Notable people with the surname include:
Dana Fisman, Israeli computer scientist
David Fisman, Canadian epidemiologist
Raymond Fisman (born 1971), American economist
See also
Fishman (disambiguation) |
https://en.wikipedia.org/wiki/Jonaya%20Kemper | Jonaya Kemper is an American game design academic and game writer/designer. Kemper's work includes LARP, tabletop role-playing games, and computer games. Kemper coined the term and developed the theory of "emancipatory bleed."
Academic work in games
Kemper developed the theory of emancipatory bleed in live-action games as a way of analyzing how players with marginalized identities can achieve political liberation through embodying imaginary characters. Kemper also developed guidelines to design games for players with intersectional identities and an auto-ethnographic process for LARP research and documentation.
As Game Design Lead in Carnegie Mellon's computer science department's Human-Computer Interaction Institute, Kemper conducted professional research on human-robot interactions in educational games and racial and gender biases in the design of children's games.
Game writing and design
Kemper co-wrote Thirsty Sword Lesbians (Evil Hat Productions), winning a Nebula Award for Best Game Writing and ENNIE Awards for "Best Game" and "Product of the Year." Kemper wrote a game based on Bram Stoker's Dracula novel called Feeding Lucy in the LARP anthology Honey & Hot Wax (Pelgrane Press). Kemper wrote Tales from the Corner Coven, a short tabletop role-playing game about bodega cats in Brooklyn, for Simon & Schuster's The Ultimate Micro-RPG Book. Kelly Knox for Nerdist called Tales from the Corner Coven "bewitching" and said, "We want to play right meow."
Kemper also wrote the adventure "The Little Mx. Scare-All Pageant" for Visigoths vs. Mall Goths by Lucian Kahn and contributed writing to 7th Sea.
References
External links
American game designers
American video game designers
ENnies winners
Indie role-playing game designers
Live-action role-playing game designers
Living people
Role-playing game designers
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Network%20Video | Network Video was an Australian home video rental chain that offered titles on VHS, DVD, Blu-ray, and Ultra HD Blu-ray, as well as console video games, for rent. At its peak, it operated hundreds of franchise and corporate-owned video rental shops in Australia.
References
External links
Video rental services in Australia
Video rental services in New Zealand
Australian companies established in 1993
Companies based in Melbourne
Retail companies established in 1993 |
https://en.wikipedia.org/wiki/Edward%20Y.%20Chang | Edward Y. Chang is a computer scientist, academic, and author. He is an adjunct professor of Computer Science at Stanford University, and Visiting Chair Professor of Bioinformatics and Medical Engineering at Asia University, since 2019.
Chang is the author of four books, including Foundations of Large-Scale Multimedia Information Management and Retrieval, Big Data Analytics for Large-Scale Multimedia Search, Nomadic Eternity (poetry), Journey of the Mind (poetry), and the Chinese translator of Erwin Schrödinger's What is Life? Mind and Matter. His research interests span consciousness modeling, generative artificial intelligence, and health care, for which he has received numerous awards such as the Google Innovation Award, XPRIZE Award, and the Presidential Award of Taiwan for his work containing the COVID-19 outbreak. He is also a fellow of ACM Association for Computing Machinery and fellow of IEEE Institute of Electrical and Electronics Engineers for his contributions to scalable machine learning and healthcare.
Education
Chang completed his Master of Science in Industrial Engineering and Operations Research at the University of California, Berkeley before pursuing further studies at Stanford University. He received his Master of Science in Computer Science from Stanford in 1994 and then went on to pursue a Ph.D. in Electrical Engineering at the same institution. From 1995 to 1999, he worked under his advisor, Héctor García-Molina, and obtained his doctoral degree.
Career
Chang started his academic career at the University of California, Santa Barbara where he served as an Assistant, Associate, and eventually Full Professor of Electrical & Computer Engineering from 1999 to 2006. Between 2012 and 2015, he was appointed as an adjunct professor in Computer & Information Science at Hong Kong University of Science and Technology (HKUST), Hong Kong. This was followed by an appointment as a visiting professor at the Future Reality center in the EECS department of University of California, Berkeley from 2017 to 2020. Since 2019, he has been holding appointments as the adjunct professor of Computer Science at Stanford University and Visiting Chair Professor of Bioinformatics and Medical Engineering at Asia University.
Chang was Director of Research at Google from 2006 to 2012. During this time, he led research and development initiatives in several areas, including scalable machine learning, recommendation systems, indoor localization, and Google QA. Previously, he held an appointment as the Chief Technical Advisor for Video Surveillance at Proximex located in Cupertino, California from 2004 to 2006. In 2012, he became the President of HTC Healthcare. He also served as the Chief NLP Advisor at SmartNews, a Tokyo-based company, from 2019 to 2022, where he contributed in developing interactive news. He founded Ailly.ai, a Palo Alto-based company, where he serves as the Founder and Chief technology officer (CTO) since 2019.
Research
Chang has authore |
https://en.wikipedia.org/wiki/Varix%20VC%2050 | The VC 50 was an 8-bit home computer produced in Brazil by the company Engetécnica (later called Varix) between 1983 and 1985. It was one of the many clone machines based on the TRS-80 Color Computer introduced during the Brazilian "Market Reserve", like the Codimex CD-6809 or Prológica CP 400 COLOR.
History
Launched in 1983, the initial target audience for the VC50 was mainly agricultural companies, sugar mills and distilleries. The machine, originally equipped with an integrated floppy disk drive and numeric keypad, came to be used as a controller for industrial manufacturing processes and for financial and production calculations related to agriculture. Varixx, formerly Engetécnica/Varix, developed specific software packages for these usages (including for example of sucrose content control or freight price list generation). The machine faced competition from established business machines like the CP 500 and the Sistema 700, both from Prológica, as well as Apple II compatibles, having a limited success, with 500 to 1000 units sold.
Despite intending to establish itself as a professional computer, the VC 50 also tried to compete with other Brazilian TRS-80 Color Computer clones, like the CP 400. It was not successful due to the extra cost of the integrated floppy disk drive.
Technical features
The basic features of the VC 50 are similar to the TRS-80 Color Computer.
CPU: Motorola 6809E , 890 kHz to 1.8 MHz
Memory:
ROM: 16 KBytes (containing Varix Basic)
RAM: 64 KBytes
Keyboard:
Built-in, 52-keys plus 12-keys keypad
Display: Motorola 6847, 9 colors
Text mode (with 32 x 16 characters)
Low resolution graphics (with 64 x 32 pixels)
Medium and high resolution graphics (up to 256 x 192 pixels, 2 colors per pixel)
Expansion port (cartridges, disk interfaces, etc.)
Built in disk drive: 180K, single sided
Other ports:
Composite video monitor (PAL-M color TV using an external modulator)
RS-232C serial port
Analogue or digital joysticks
Cassette recorder (1500 baud, with remote engine control)
See also
Motorola 6809
CP 400 COLOR
Codimex CD-6809
LZ Color 64
TRS-80 Color Computer
References
Computer-related introductions in 1983
Goods manufactured in Brazil
Personal computers
Products introduced in 1983
TRS-80 Color Computer |
https://en.wikipedia.org/wiki/Royal%20Blood%20%28TV%20series%29 | Royal Blood is a 2023 Philippine television drama crime mystery series broadcast by GMA Network. Directed by Dominic Zapata, it stars Dingdong Dantes. It premiered on June 19, 2023, on the network's Telebabad line up, replacing Hearts on Ice. The series concluded on September 22, 2023 with a total of 70 episodes. It was replaced by Love Before Sunrise in its timeslot.
The series is streaming online on YouTube.
Premise
When a death occurs in the Royales family, it leads to the investigation of the estranged son, Napoy. He seeks help from a former NBI agent and his son.
Cast and characters
Lead cast
Dingdong Dantes as Napoleon "Napoy" Terrazo Royales
Supporting cast
Megan Young as Diana Royales
Mikael Daez as Kristoff Royales
Dion Ignacio as Andrew Castor
Lianne Valentin as Beatrice "Bee" Royales
Rabiya Mateo as Tasha
Rhian Ramos as Margaret Royales-Castor
Tirso Cruz III as Gustavo Royales
Ces Quesada as Cleofe
Carmen Soriano as Camilla
Benjie Paras as Otep
Arthur Solinap as Emiliano "Emil" Bañez / Emiliano "Yano" Royales
Aidan Veneracion as Archie Royales
Sienna Stevens as Elizabeth "Lizzie" Terrazo
Princess Aliyah as Anne
James Graham as Louie Castor
Recurring cast
Divine Tetay as Peachy
Mel Kimura as Marta
Moi Bien as Jenny
Melissa Avelino as Loray
Andrew Schimmer as Lemuel
John Feir as Gerald
Patani Dano as Loida
Andrew Gan as Ryan San Diego
Ge Villamil as Queenie Masangkay
Chamyto as Jazz
Bem Sabanal as Arona Santiago
Guest cast
Vaness del Moral as Hillary Pelaez-Suarez
Anna Marin as Victoria Royales
Ashley Ortega as Jacqueline "Jackie" Antonio-Mabantog
Migs Villasis as Efren Oyos
Mark Dionisio as Liaban
Haley Dizon as Sarah Oquendo
Jillian Ward as Analyn Santos
Episodes
<onlyinclude>
Casting
Actor Arthur Solinap joined the series as a regular cast member, portraying the same character he played in the 2022 Philippine TV drama crime series Widows' Web. Actresses Vaness del Moral and Ashley Ortega also reprised their respective role in Widows' Web, as friends of the Royales clan in the series. Actress Jillian Ward made a cameo appearance as Lizzie Terrazo's doctor, Analyn Santos, who originated from the Philippine TV medical drama series Abot-Kamay na Pangarap.
Production
Principal photography commenced on April 12, 2023. Filming concluded on September 13, 2023.
References
External links
2023 Philippine television series debuts
2023 Philippine television series endings
Filipino-language television shows
GMA Network drama series
Murder in television
Philippine crime television series
Philippine mystery television series
Television shows set in the Philippines |
https://en.wikipedia.org/wiki/Socios.com | Socios.com is a blockchain-based fan engagement platform that allows sports and entertainment organizations to monetize their fan bases. The platform allows fans to buy, trade, and execute voting rights in their favorite sports teams. The company was founded in 2018 and is headquartered in Malta.
History
Socios.com was founded in 2018 by Alexandre Dreyfus. The company's goal was to create a blockchain-based platform that would allow sports and entertainment organizations to monetize their fan bases. The company raised $66 million in a private token sale in 2019.
Products and Services
Socios.com offers a variety of products and services to sports and entertainment organizations. The company's flagship product is the Socios.com app, which allows fans to buy, trade, and execute voting rights in their favorite sports teams. The app also allows fans to earn rewards for their engagement with their favorite teams.
Partnerships
Socios.com has partnerships with a number of sports and entertainment organizations, including FC Barcelona, Paris Saint-Germain F.C., Juventus F.C., and the UFC. For the 2021–2022 season, Socios.com became the main shirt sponsor of Italian club Inter Milan.
The company has sponsored the Ballon d'Or since 2021.
Awards and recognition
Socios.com was named the "Best Cryptocurrency Company" at the 2020 Football Business Awards.
References
External links
Socios.com
Blockchain games |
https://en.wikipedia.org/wiki/Lenore%20Zuck | Lenore D. Zuck (born 1958) is an Israeli-American computer scientist whose research involves formal methods in software engineering, as well as information privacy. She is a research professor of computer science at the University of Illinois Chicago.
Education and career
Zuck was born in Tel Aviv in 1958, and earned a bachelor's degree in 1979 from the Technion – Israel Institute of Technology. She went to the Weizmann Institute of Science for graduate study in computer science, earning a master's degree in 1983 and a Ph.D. in 1987. Her doctoral dissertation, Past Temporal Logic, concerned temporal logic, and was supervised by Amir Pnueli.
She was an associate professor of computer science at Yale University, and then at New York University, before moving to the University of Illinois Chicago in the early 2000s.
Selected publications
References
External links
Home page
1958 births
Living people
Scientists from Tel Aviv
Israeli computer scientists
Israeli women computer scientists
American computer scientists
American women computer scientists
Technion – Israel Institute of Technology alumni
Yale University faculty
University of Illinois Chicago faculty |
https://en.wikipedia.org/wiki/Wijkia%20extenuata | Wijkia extenuata, commonly known as spear moss or spiky wiki, is a species of moss from the family Pylaisiadelphaceae. It can be divided into two varieties Wijkia extenuata '-var. caudata and Wijkia extenuata var. extenuata. It is commonly found throughout the tropical, subtropical, and temperate forests of eastern Australasia and New Zealand.
Taxonomy
Wijkia is a tropical to subtropical genus consisting of about 25-30 Old and New World species. This species' previous name Acanthocladium extenatum was replaced by Crum (1971) and is represented by a single species in Tasmania. and New Zealand The genus was previously placed in family Sematophyllaceae, but moved to the newly described Pylaisiadelphaceae when Sematophyllaceae was split on the basis of molecular DNA data. The genus was named in honour of Sir Roelof J. van der Wijk (1895-1981), a Dutch bryologist.
Description
Wijkia extenuata is a variable species of small to medium-sized plant where the appearance of both varieties shares many of the same features. Both varieties are stiff, compactly branched plants with lose forming tufts to soft, pendulous forms. Plants are of yellow to brown-green or dark green colouration and turns golden with age with loosely interwoven mats. Stems are red, irregularly creep and are bipinnately or subpinnately branched about long. Branches pinnately or with simple branch, ascendant or creeping, and branchlets near tips are often with multiple flagelliform and microphyllous. The only very common distinction between variants is the presence of predominant branches. The “branch-only” growth does not develop flagelliform branches and are distinctive to the variation caudata.
Leaves in stem and branch are differentiated, and ecostate. Stem leaves are broadly ovate to lanceolate, appressed to erect and wide-spreading when dry, abruptly tapered to a slender with occasional serrulate, piliferous apex; about ~1-2mm long in primary leaves and around long in secondary leaves. Branch leaves lanceolate to ovate-lanceolate, smaller about long, sharply toothed, slenderer, erect to erect spreading, concave with gradually short acuminate to apex; occasional strong serrulate margins to the base and not piliferous. It is seemingly similar to the species Calliergonella cuspidata but differs with the distinctive long hairpoint on the leaves. The plant reproduces asexually through specialised flagelliform and deciduous branchlets with foliose, deltoid pseudoparaphyllia.
Its perichaetia are conspicuous, scattered and arising on stems; inner perichaetial leaves erect with long and sharp toothed acumen. Setae are red-brown, smooth, elongate, twisted to the left above, and long. Calyptra are smooth, and cucullate. Capsules about long, asymmetric, horizontal, oblong-cylindric below the mouth, and short neck. Annulus are differentiated, operculum base high-conic, blunt, arched, and lacks long rostrum. Peristomes are pale, double; strongly bordered and shouldered 16 exostome teet |
https://en.wikipedia.org/wiki/Dynacom%20MX1600 | The MX-1600 was an 8-bit home computer produced in Brazil by the company Dynacom in 1985. It was one of the many clone machines based on the TRS-80 Color Computer introduced during the Brazilian "Market Reserve", like the Codimex CD-6809 or Prológica CP 400 COLOR.
History
Launched in August 1985 by Dynacom, a Brazilian video game console manufacturer, the MX-1600 was intended to compete with 8-bit microcomputers such as the Apple II, taking advantage of the success of TRS-80 Color Computer compatibles in the market, based on the excellent sales results of the Prológica CP 400 COLOR.
To differentiate itself from competitors, the MX-1600 was sold with two cassette tapes containing more than one hundred games, applications and utilities, while its biggest opponent, the mentioned CP 400 COLOR, came with a single cassette tape containing only eight programs.
However, sales of the MX-1600 were below expectations and production was shut down in 1986. Although it had plans to launch a MSX standard computer, Dynacom decided to focus on developing IBM PC compatible machines.
The Dynacom MX-1600 can be emulated in MAME or XRoar.
Technical features
The basic features of the Dynacom MX-1600 are similar to the TRS-80 Color Computer, yet there are some differences.
The cartridge slot was in the top right corner of the case, and as a result, cartridges were connected vertically, similar to video game consoles of the time. Only cartridges manufactured or licensed by Dynacom could be used, due to their physical format being different from that of other TRS-80 Color Computer compatibles.
Dynacom also changed the input / output connectors on the MX-1600, preferring not to use standard DIN connectors. This allowed the usage of hardware (ex. joysticks) already manufactured by the company for its video game consoles
CPU: Motorola 6809E , 890 kHz to 1.8 MHz
Memory:
ROM: 20 KBytes (containing "Extended Color BASIC" or "ECB")
RAM: 64 KBytes
Keyboard:
Built-in, 59-keys
Display: Motorola 6847, 9 colors
Text mode (with 32 x 16 characters)
Low resolution graphics (with 64 x 32 pixels)
Medium and high resolution graphics (up to 256 x 192 pixels, 2 colors per pixel)
Expansion port (cartridges)
Other ports:
PAL-M color composite or TV RF out
RS-232C serial port
Analogue or digital joysticks
Cassette recorder (1500 baud, with remote engine control)
See also
LZ Color 64
CP 400 COLOR
Codimex CD-6809
TRS-80 Color Computer
References
Computer-related introductions in 1985
Goods manufactured in Brazil
Personal computers
Products introduced in 1985
TRS-80 Color Computer |
https://en.wikipedia.org/wiki/Patricia%20Lago | Patricia Lago is an Italian computer scientist. She is a full professor at the Vrije Universiteit Amsterdam in the Netherlands, where she leads the Software and Sustainability Research Group S2, which she established and has led since 2011. Her research interests are software engineering, software architecture and software sustainability.
Education and career
Lago took her master's degree in computer science at the Università degli Studi di Pisa in 1992, and in 1996 a Ph.D. degree in control and computer engineering at the Politecnico di Torino. After completing her Ph.D. degree, she was associated with the Politecnico di Torino as a postdoctoral researcher and then as an assistant professor until 2003. Since 2003 she has been employed at the Vrije Universiteit Amsterdam, first as an associate professor, and since 2015 as professor.
The aim of Lago's research is to create software engineering knowledge that makes software better, smarter and more sustainable. The research has been applied to areas such as smart cities, digital transformation and digital healthcare. She has been an editor for several key professional journals and chaired program boards for important international research conferences.
In 2022, Lago was the recipient of an Honorary Doctorate, dr.h.c., from the Norwegian University of Science and Technology (NTNU).
References
External links
Lago's profile page, Vrije Universiteit Amsterdam
Lago in Computer Science Bibliography
Italian computer scientists
Living people
Year of birth missing (living people)
Italian women computer scientists
Academic staff of Vrije Universiteit Amsterdam
University of Pisa alumni
Polytechnic University of Turin alumni
Academic staff of the Polytechnic University of Turin |
https://en.wikipedia.org/wiki/Yamaguchi%20Asahi%20Broadcasting | , also known as yab, is a television network headquartered in Yamaguchi City, Yamaguchi Prefecture, Japan.
Yamaguchi Asahi Broadcasting is the third commercial television broadcaster in Yamaguchi Prefecture. it was founded in 1992, and started broadcasting in 1993. On October 1, 2006, yab started broadcasting digital terrestrial television.
YAB is affiliated with ANN. TV Asahi and Asahi Shimbun are the top shareholders of yab. Tokuyama Corporation is the third largest shareholder of yab. In 2023, yab plan to start using its new logo.
References
External links
Official website
All-Nippon News Network
Companies based in Yamaguchi Prefecture
Television stations in Japan
Television channels and stations established in 1992 |
https://en.wikipedia.org/wiki/KamiErabi%20God.app | is a Japanese anime television series. Created by Yoko Taro, produced by Unend, and directed by Hiroyuki Seshita, the series premiered on Fuji TV's +Ultra programming block in October 2023.
Premise
High school students fight each other in a battle royale for the chance to become a god.
Characters
Ryō
Kyō
Production and release
The series was announced during the "Fuji TV Anime Lineup Presentation 2023" on March 22, 2023. It was created by Yoko Taro and produced by Unend, with Hiroyuki Seshita directing, Jin writing the scripts, Atsushi Ohkubo designing the characters, and Monaca composing the music. It premiered on Fuji TV's +Ultra programming block on October 5, 2023. The opening theme song, "Scrap & Build", is performed by Elaiza while the ending theme song, "Bleed My Heart", is performed by Alisa. Crunchyroll licensed the series outside of Asia.
Episodes
Notes
References
External links
Anime official website
2023 anime television series debuts
+Ultra
Anime and manga about death games
Anime with original screenplays
Battle royale anime and manga
Crunchyroll anime |
https://en.wikipedia.org/wiki/Kiya%20%26%20the%20Kimoja%20Heroes | Kiya & the Kimoja Heroes is a computer-animated television series created by Kelly Dillon, Marc Dey and Robert Vargas, and premiered on Disney Junior on March 22, 2023. The series is co-produced by Triggerfish Animation Studios, Frog Box Productions, Hasbro Entertainment (formerly produced by Entertainment One) and TeamTO, with the participation of France Télévisions and Disney Junior.
Premise
The series is set in a fictional African place called Kimoja City, and centers on three best friends: Kiya, Jay, and Motsie. Whenever there is a problem in town, a drum sound can be heard. The trio head to their headquarters called Crystal Eyes where they don their superhero gear. The friends can also gear up outside Crystal Eyes by simply putting on their bandanas.
Characters
Kiya (voiced by Dineo du Toit) is the leader of the Kimoja Heroes. Her gadget is a baton that create energy rings that can hold things they surround. She is seven years old.
Jay (voiced by Ian Ho) is one of Kiya's friends and fellow superheroes. His gadget is a guitar that creates energy blocks that can be used as barriers.
Motsie (voiced by Fontina Fourtounes) is Jay's younger sister and one of Kiya's friends and fellow superheroes. Her interests are roller skating and building high-tech tools. Her gadget is a zip tool that is used to grab and swing on things. She is also equipped with special nets for trapping things.
Daddy Jo (voiced by Bonko Khoza) is Kiya's father and the owner of a food truck.
Bra Jabu is the owner of a produce stand.
Zane/Acrobrat is a young Kimojian who turns into Acrobrat when he doesn't get his way. As Acrobrat, he is athletic as his alter-ego suggests, and can roll into a ball to travel faster.
MC Harmony is the events coordinator of Kimoja City.
Aunty Busi is a woman who is conscious about her hair.
Haddy Collider (voiced by Maja Vujicic) is a mechanical supervillain who creates gadgets to stop the Kimoja Heroes.
Galactoslug (voiced by Cory Doran) is Haddy's sidekick and pet slug.
Primadonna (voiced by Tumelo Mosese) is a supervillain with telekinesis that wreaks havoc when something goes wrong.
Gogo Flo is Kiya's maternal grandmother.
Shandu is Jay and Motsie’s mother who works as a hairstylist.
Marianne is Jay and Motsie’s other mother who works as a safari park worker.
Episodes
Production
On February 25, 2021, it was announced that Entertainment One had greenlit Kiya, a series about a young superhero and her two best friends, set to launch in multiple markets globally in 2023. Kiya's world features a diverse cast of characters inspired by the varied landscape, natural beauty and culture of Southern Africa. The series is based on an original concept from South African-based production company Triggerfish and developed for television by Frogbox and eOne.
On June 17, 2021, it was announced that Disney Junior and Disney+ had picked up both broadcasting and streaming rights for the series, now titled Kiya & the Kimoja Heroes.
Broadcas |
https://en.wikipedia.org/wiki/Fortune%20Systems | Fortune Systems Corporation, later Tigera Group, Inc. and Connectivity Technologies, Inc., was an American computer hardware and software company active from 1980 to 2011. The company existed as a manufacturer of Unix workstations between 1980 and 1987 and are most well known for their Fortune 32:16 line of Motorola 68000-based workstations. Following years of financial turmoil and executive churn, the company left the computer industry after selling the majority of their hardware assets off in 1987, followed by their software assets in 1988.
History
1980–1983: Beginnings and early success
Fortune Systems Corporation was formed in September 1980 in Foster City, California. Its principal founder was by Gary B. Friedman, who had previously co-founded Itel Corporation, another San Francisco company in the business of leasing industrial equipment such as mainframe computers, with Peter Redfield in 1967. Before founding Itel, Friedman had worked for International Business Machines Corporation (IBM) from 1955 to 1967, as a manager within that company's marketing department. Friedman left Itel in August 1979 after it had collapsed amid a catastrophic debt default and entered Chapter 11 bankruptcy protection, described by the The New York Times as the "the largest and most complex bankruptcies in [American] history" up to that point. Friedman was joined in founding the company with David van den Berg and Homer Dunn, also previously of Itel. Fortune began development of their to-be-flagship product, the Fortune 32:16—a relatively inexpensive, multiuser workstation running Unix and based on the Motorola 68000 microprocessor—in early 1980, before the company was formally incorporated.
In September 1981, by which point the company employed over 50 people, Fortune raised $8.5 million in venture capital from the French Thomson SARL company. This was the largest raising of capital for a start-up personal computer company at the time. In exchange for their investment, Thomson received the rights to distribute and remarket the Fortune 32:16 as the Micromega 32 in France. Other early investors included the First Chicago Bank, BNP Paribas, Walter E. Heller and Company, and the Greyhound Computer Corporation of Phoenix, Arizona; at 33 percent, Thomson's stake in Fortune was the largest of the bunch. As a result of the capital gain, Fortune moved their headquarters to a 26,000-square-foot plant in San Carlos, California, starting in October 1981. The move was complete by April 1982. That month, the company received an additional $10.5 million in venture capital from multiple investors, followed by another $1.5 million from Thomson in June 1982.
In November 1981, Fortune publicly unveiled the 16:32 at the COMDEX/Fall 1981 show at the MGM Grand in Las Vegas, Nevada. According to InfoWorld, Fortune at COMDEX was "clearly the technological talk" of that year's COMDEX, with the company's booth drawing massive crowds during the entire duration of the show. The company |
https://en.wikipedia.org/wiki/Bailey%27s%20FFT%20algorithm | The Bailey's FFT (also known as a 4-step FFT) is a high-performance algorithm for computing the fast Fourier transform (FFT). This variation of the Cooley–Tukey FFT algorithm was originally designed for systems with hierarchical memory common in modern computers (and was the first FFT algorithm in this so called "out of core" class). The algorithm treats the samples as a two dimensional matrix (thus yet another name, a matrix FFT algorithm) and executes short FFT operations on the columns and rows of the matrix, with a correction multiplication by "twiddle factors" in between.
The algorithm got its name after an article by David H. Bailey, FFTs in external or hierarchical memory, published in 1989. In this article Bailey credits the algorithm to W. M. Gentleman and G. Sande who published their paper, Fast Fourier Transforms: for fun and profit, some twenty years earlier in 1966. The algorithm can be considered a radix- FFT decomposition.
Here is a brief overview of how the "4-step" version of the Bailey FFT algorithm works:
The data (in natural order) is first arranged into a matrix.
Each column of a matrix is then independently processed using a standard FFT algorithm.
Each element of a matrix is multiplied by a correction coefficient.
Each row of a matrix is then independently processed using a standard FFT algorithm.
The result (in natural order) is read column-by-column. Since the operations are performed column-wise and row-wise, steps 2 and 4 (and reading of the result) might include a matrix transpose to rearrange the elements in a way convenient for processing. The algorithm resembles a 2-dimensional FFT, a 3-dimensional (and beyond) extensions are known as 5-step FFT, 6-step FFT, etc.
The Bailey FFT is typically used for computing DFTs of large datasets, such as those used in scientific and engineering applications. The Bailey FFT is a very efficient algorithm, and it has been used to compute FFTs of datasets with billions of elements (when applied to the number-theoretic transform, the datasets of the order of 1012 elements were processed in mid-2000s).
See also
Row-column FFT algorithm
Vector-radix FFT algorithm
References
Sources
FFT algorithms |
https://en.wikipedia.org/wiki/Tami%20Tamir | Tamar (Tami) Tamir (born 1968) is an Israeli computer scientist specializing in approximation algorithms and algorithmic mechanism design, especially for problems in resource allocation, scheduling, and packing problems. She is a professor in the Efi Arazi School of Computer Science of Reichman University.
Education and career
Tamir was born in 1968, and graduated in 1992 from the Technion – Israel Institute of Technology with a bachelor's degree in computer science. She continued at the Technion for graduate study, earning a master's degree in 1995 and completing her Ph.D. in 2001. Her doctoral dissertation, Class-Constrained Resource Allocation Problems, was supervised by Hadas Shachnai.
While still a graduate student, Tamir worked at Intel, in the Israel Software Lab, from 1994 to 1997, and had a summer position at Hewlett-Packard. After postdoctoral research at the Technion and the University of Washington, Tamir joined the Efi Arazi School of Computer Science of Reichman University in 2004. She was vice-dean of the school from 2008 to 2012, and dean from 2012 to 2017.
Selected publications
References
External links
Home page
Living people
Israeli computer scientists
Israeli women computer scientists
Technion – Israel Institute of Technology alumni
Academic staff of Reichman University
1968 births |
https://en.wikipedia.org/wiki/Computer%20Transceiver%20Systems%2C%20Inc. | Computer Transceiver Systems, Inc. (CTSI) was an American computer company active from 1968 to 1998. It manufactured a wide range of portable data terminals, portable computers, and printers for microcomputers under the Execuport name. It was originally based in Upper Saddle River, New Jersey, soon relocating to Paramus, New Jersey, where it spent most of its independent existence.
History
Foundation (1969–1973)
Computer Transceiver Systems, Inc. (CTSI), was founded in 1968 by Allen G. Jacobson in Upper Saddle River, New Jersey. While managing the company, Jacobson was also a volunteer pilot for the Civil Air Patrol. Between 1968 and June 1969, the company filed its initial public offering with the SEC. The company's first product line was the Execuport, the company's brand of high-speed portable teletypes and terminals that were used to remote into the mainframe and minicomputers of the time. The Execuport was developed in part by Jacobson and introduced in 1969. The first units of the Execuport were produced in mid-1969 from the company's production facilities in Upper Saddle River. The plot of land on which the production facilities rested also housed the company's research and development laboratories and executive offices. Production of the Execuports was initially a more amateur affair before CTSI set up assembly lines for their manufacture in around July 1969.
In the spring of 1970, CTSI moved its entire base of operations to Paramus, New Jersey, occupying a 41,000-square-foot building leased from Philips Norelco. The move to Paramus was completed in mid-1971; with it came a corporate reorganization that saw several new locals enter the executive team. In May 1972, the company partnered with North American Corporation to form a joint venture, Computer Transceiver Leasing Systems, which purchased and leased computer terminals to various corporate buyers.
Profitability (1973–1985)
CTSI faced losses of over 302,400 in 1971 and $473,000 for the fiscal year 1972. The company reported its first profitable year in 1973, the netting income of over $119,400 on sales of $2.66 million (up from $1.76 million in 1972). This was following a marginal increase in share price and the sale of 550 units of Execuport Model 1200 terminals to Litton Industries in late 1972 worth $1 million. Said deal with Litton was part of a contract that allowed Litton to purchase up to $15 million worth of Execuport terminals through to 1977. CTSI's stock valuation increased apace from 1973 to at least 1977. The company remained largely profitable as well, netting over $120,000 between February and August 1976 and $182,700 in profit between the same period in 1977. Following high executive employment churn around the turn of 1978, the company reported their first quarterly loss since 1972 in late 1978.
The company reported roughly $6 million in sales in 1981 and 1982. Their competitors around this time included market leader Texas Instruments (with their Silent 700 ser |
https://en.wikipedia.org/wiki/Non-Timber%20Forest%20Products%20%E2%80%93%20Exchange%20Programme | The Non-Timber Forest Products – Exchange Programme (NTFP-EP) is a network of non-governmental organizations and community-based organizations in Southeast Asia and South Asia that promotes the use of non-timber forest products (NTFPs) for forest conservation and as a source of livelihood for forest-based communities. The network has a regional secretariat office in the Philippines with country-level offices in Cambodia, India, Indonesia, Malaysia, the Philippines, and Vietnam.
NTFP-EP's work focuses on community-based conservation, tenure rights and governance, sustainable livelihoods, indigenous food and health, strengthening cultural identity, gender equality, and youth empowerment. The organization conducts information and knowledge exchange activities, trainings, and advocacy work with network partners and supporting organizations as part of its capacity building activities.
History
NTFP-EP started informally in 1998 as a group of forest professionals working in India, Indonesia, Malaysia, the Philippines, and Vietnam. In September 2003, the group was formally registered in the Securities and Exchange Commission as a non-profit organization based in Quezon City, Philippines. Dutch ethnobiologist Johannes Henricus de Beer served as NTFP-EP's first executive director from 1998 to 2010.
In its early years, the regional secretariat organization was originally called the Non-Timber Forest Products Exchange Programme for South and Southeast Asia. Meanwhile, the NTFP-EP Philippines country office was formerly called the Non-Timber Forest Products Task Force. The names were later shortened and re-organized to its current form in 2012.
Today, the organization has fully established country offices in Quezon City, Bogor, and Phnom Penh with smaller country offices in Kotagiri, Miri, and Ho Chi Minh City.
Activities
Regional
Since 2007, NTFP-EP has hosted Madhu Duniya, an international conference on forest honey and Asian bee species held every four years in Southeast Asia.
In 2016, the Food and Agriculture Organization partnered with NTFP-EP to assess the role of NTFPs in cosmetics and beauty products. The outcome of this collaboration was jointly published in the book Naturally Beautiful in 2020.
NTFP-EP published the book Wild Tastes in Asia in 2019, detailing various examples of wild foods consumed by indigenous peoples and local communities in Asia.
In a 2019 meeting, the ASEAN Senior Officials on Forestry tasked NTFP-EP to develop guidelines and protocols for harvesting and managing NTFPs in the region. On 21 October 2020, the ASEAN Ministers on Agriculture and Forestry formally adopted the guidelines developed by the organization.
In 2021, NTFP-EP organized the five-day Forest Harvest Community-based NTFP Enterprises Forum, which focused on community enterprises that produces and markets traditional and indigenous products.
In 2022, the Asian Forest Cooperation Organization signed a five-year cooperation deal with NTFP-EP to lead its |
https://en.wikipedia.org/wiki/Climate%20Information%20Service | Climate Information Services (CIS) (or climate services) entail the dissemination of climate data in a way that aids people and organizations in making decisions. CIS helps its users foresee and control the hazards associated with a changing and unpredictable climate. It encompasses a knowledge loop that includes targeted user communities' access to, interpretation of, communication of, and use of pertinent, accurate, and trustworthy climate information, as well as their feedback on that use. Climate information services involve the timely production, translation and delivery of useful climate data, information and knowledge.
Climate services are systems to deliver the best available climate information to end-users in the most usable and accessible formats. They aim to support climate change adaptation, mitigation and risk management decisions. There is a vast range of practices and products for interpreting, analyzing, and communicating climate data. They often combine different sources and different types of knowledge. They aim to fulfil a well-specified need. These climate services mark a shift from supply-driven information products that result from scientific research. Instead they are demand-driven and take greater account of users’ needs and decision-making. To do so they require different types of user–producer engagement, depending on what the service aims to deliver. This type of collaboration is called co-design.
Climate services vary in their structure and objectives. They are set up to help users cope with current climate variability and limit the damage caused by climate-related disasters. They can also serve as an important measure to reduce risks in a particular sector. One example is Copernicus Climate Change Service (C3S), which provides free and open access to climate data, tools and information used for a variety of purposes. Another example is Participatory Integrated Climate Services for Agriculture (PICSA). This is a participatory approach which combines historical climate data and forecasts with farmers’ local contextual knowledge.
Definition
Climate information (CI) refers to the gathering and analysis of actual weather and climate observations as well as simulations of the climate for the past, the present and the future. Climate information services entail the dissemination of climate data in a way that aids people and organizations in making decisions. CIS helps its users foresee and control the hazards associated with a shifting and unpredictable environment.
Types of climate information
There are three main types of climate information commonly provided through CS. These are forecasts, agrometeorological services, and early warnings.
Forecasts use in farming operations: Several CS projects in the African agriculture sector have applied forecasts of varying timescale in providing risk warning and risk response advisory services to farmers. The five timescale forecasts most widely used in the production of cl |
https://en.wikipedia.org/wiki/Bard%20%28chatbot%29 | Bard is a conversational generative artificial intelligence chatbot developed by Google, based initially on the LaMDA family of large language models (LLMs) and later PaLM. It was developed as a direct response to the rise of OpenAI's ChatGPT, and was released in a limited capacity in March 2023 to lukewarm responses, before expanding to other countries in May.
LaMDA had been developed and announced in 2021, but was not released to the public. OpenAI's launch of ChatGPT in November 2022 and its subsequent popularity caught Google executives off-guard and sent them into a panic, prompting a massive and unprecedented level of response in the ensuing months. After mobilizing its workforce, the company scrambled to launch Bard in February 2023, with the chatbot taking center stage during the 2023 Google I/O keynote in May.
Background
In November 2022, OpenAI launched ChatGPT, a chatbot based on the GPT-3 family of large language models (LLM). ChatGPT gained worldwide attention following its release, becoming a viral Internet sensation. Alarmed by ChatGPT's potential threat to Google Search, Google executives issued a "code red" alert, reassigning several teams to assist in the company's artificial intelligence (AI) efforts. Sundar Pichai, the CEO of Google and parent company Alphabet, was widely reported to have issued the alert, but Pichai later denied this to The New York Times. In a rare and unprecedented move, Google co-founders Larry Page and Sergey Brin, who had stepped down from their roles as co-CEOs of Alphabet in 2019, were summoned to emergency meetings with company executives to discuss Google's response to ChatGPT.
Earlier in 2021, the company had unveiled LaMDA, a prototype LLM, but did not release it to the public. When asked by employees at an all-hands meeting whether LaMDA was a missed opportunity for Google to compete with ChatGPT, Pichai and Google AI chief Jeff Dean stated that while the company had similar capabilities to ChatGPT, moving too quickly in that arena would represent a major "reputational risk" due to Google being substantially larger than OpenAI. In January 2023, Google sister company DeepMind CEO Demis Hassabis hinted at plans for a ChatGPT rival, and Google employees were instructed to accelerate progress on a ChatGPT competitor, intensively testing "Apprentice Bard" and other chatbots. Pichai assured investors during Google's quarterly earnings investor call in February that the company had plans to expand LaMDA's availability and applications.
History
Announcement
On February 6, 2023, Google announced Bard, a conversational generative artificial intelligence chatbot powered by LaMDA. Bard was first rolled out to a select group of 10,000 "trusted testers", before a wide release scheduled at the end of the month. Bard is overseen by product lead Jack Krawczyk, who described the product as a "collaborative AI service" rather than a search engine, while Pichai detailed how Bard would be integrated into Google |
https://en.wikipedia.org/wiki/Philodryas%20cordata | Philodryas cordata is a species of snake of the family Colubridae.
Geographic range
The snake is found in Venezuela.
References
Philodryas
Snakes of South America
Reptiles of Venezuela
Endemic fauna of Venezuela
Reptiles described in 1991 |
https://en.wikipedia.org/wiki/Bird%20of%20the%20Iron%20Feather | Bird of the Iron Feather is an American television soap opera that aired on the National Educational Television network from January 19 to March 6, 1970. Created by writer and radio producer Richard Durham, the series was notable as the first all-Black television soap opera. Bird of the Iron Feather starred African American actor Bernard Ward as fictional Chicago Police Detective Jonah Rhodes, and addressed issues like racism, school desegregation and the complicated relationship between Black people and the police. Produced in Chicago, Illinois, the series won a Chicago/Midwest Emmy Award, and was the highest-rated local show ever broadcast by WTTW-TV in Chicago.
Storyline
Bird of the Iron Feather centers on fictional Black Chicago Police Detective Jonah Rhodes (Bernard Ward), who is killed during the 1966 Chicago West Side riots prior to the start of the series. Stories are told via flashbacks based on his diary, discovered in his police station locker after his death by his nemesis, Sergeant Harry Vines (Milton Lamb). Thirty-five-year-old Jonah is married to Jean (Yolande Bryant), and is responsible for his three younger siblings and grandmother. He studies law at night, and as a cop is "caught in a web between being suspected as a white man's informer of the growing Black rebellion, and an ally to the militants."
The series addressed topics of interest to the African American community from their perspective, including racism, poverty, school desegregation, police corruption and brutality, and the complicated relationship between Black people and the police. Bird of the Iron Feather questioned the treatment of disabled people on welfare with a storyline about Jonah's deaf relatives, and addressed Vietnam War veterans in the episode "The Sermon". Another story, in the episode "The Target", was inspired by the real-life 1969 Chicago Black Panthers police raid during which Black Panther Party members Fred Hampton and Mark Clark were killed by police. Over the course of the series, Jonah is shown to be "increasingly sympathetic to Black militants, in conflict with his original plans for promotion, more money, a move to the suburbs."
Set in Chicago's South Side, the show's primary settings include Rhodes' Chicago police station, the Rhodes family kitchen and the fictional Funky Frank's Bar.
Production and broadcast
Irna Phillips, the prolific creator of several radio and daytime television soap operas from the 1930s to the 1960s, suggested in a mid-1960s on-air interview with Chicago's Channel 11 WTTW-TV program director Edward L. Morris that the soap opera format might work on educational television. Hoping to recreate the success of Cancion de la Raza, a 70-episode drama about a Mexican American family which had aired from October 1968 through January 1969 on KCET in Los Angeles, WTTW conceived a series it called More from My Life which would explore "some of the socioeconomic problems affecting Black Chicagoans." In October 1968, WTTW appl |
https://en.wikipedia.org/wiki/Conglomerate%20451 | Conglomerate 451 is a dungeon crawler video game developed by RuneHeads and published in 2020 by 1C Entertainment. Players are tasked with defeating the corrupt corporations that control a cyberpunk city.
Gameplay
The player controls a team of cloned soldiers sent to free a cyberpunk city from corrupt corporations. It is a first-person party-based dungeon crawler with turn-based combat. The world is procedurally generated and uses movement on a 2D grid. New clones can be created, and, like in traditional role-playing video games, these characters can be customized and gain new skills over time. Characters can suffer permanent injuries and become unplayable when killed. After completing missions, the player can research new technologies to give their clones special abilities. Each mission takes one week, and the game ends after 75 weeks. An alternative game mode allows players to continue running missions indefinitely without interference by the story.
Development
Conglomerate 451 entered early access on May 23, 2019, and was released on February 20, 2020. It was ported to the Nintendo Switch, PlayStation 4, and Xbox One in June 2021 under the name Conglomerate 451: Overloaded, published by 34BigThings.
Reception
The PC version of Conglomerate 451 received mixed reviews on Metacritic. Nic Reuben of Rock Paper Shotgun enjoyed the game's character customization and the wide variety of tactical options in combat. However, he felt it lacked enough challenge to warrant this level of detail, and he criticized the game's cyberpunk setting as underused and shallow. Describing the game's setting as "forgettable", Alex Fuller wrote in RPGamer, "Conglomerate 451 has a solid gameplay base, but that's really all there is to it". In his review for the Arkansas Democrat-Gazette, Jason Bennett recommended the game to fans of traditional fantasy role-playing games like Legend of Grimrock. Bennett said the game uses the same mechanics with a cyberpunk theme.
References
External links
2020 video games
Windows games
Linux games
MacOS games
PlayStation 4 games
Nintendo Switch games
Xbox One games
Single-player video games
Indie games
Cyberpunk video games
First-person party-based dungeon crawler video games
1C Company games |
https://en.wikipedia.org/wiki/The%20Detroit%20Eagle | Detroit Eagle (also known as the Eagle) is a nightclub and entertainment complex in Detroit, Michigan. It is part of a larger network of The Eagle (bar), which have a common theme and cater primarily to the LGBTQ+ community, particularly the Leather subculture and BDSM subculture.
History
Specific details on the Detroit Eagle's origins are scarce. The Menjos Complex, where the Detroit Eagle is located, has a longer, more detailed history. Menjos, the original bar, was established in the 1970s and became a popular gathering spot for the LGBTQ+ community.
The original location was at 1501 Holden St Detroit, Michigan, now known as the Marble Bar, a live music venue bar that opened in the Fall of 2015 in the space formerly occupied by the Detroit Eagle, which moved in 2010. The Detroit Eagle became a part of this larger Menjos Complex in 2010. Over the years, the venue expanded and evolved, eventually becoming the Menjos Complex, which includes multiple bars, a dance club, and various entertainment spaces.
Connection to Madonna
In the 1970s, Madonna, the iconic pop sensation, made youthful forays into Menjo's in the Palmer Park area. Her presence at this historic establishment has since become a legendary chapter in her early life, and this was likely the first gay bar where the pop icon ever danced. According to local legend, Madonna's patronage of the bar took place during the mid- to late 1970s. However, her visits were not without controversy, as she was eventually barred from the establishment. Tim McKee-Zazo, Menjo’s general manager said “Before she went to New York and got famous, this was her hangout. Her period of coming here was the mid- to late ’70s, but then she was barred from coming,” he said, sharing a local legend. “She got kicked out of here for pulling her vagina out. She was a rowdy teenager at the time.” The original disco ball Madonna danced under is still in the possession of Menjo's; "That's the original 1976 disco ball that Madonna used to dance under here at Menjo's. She was 16 years old."
See also
The Eagle (bar)
LGBT culture in Detroit
References
Nightclubs in the United States
LGBT nightclubs
LGBT culture in Detroit
BDSM organizations |
https://en.wikipedia.org/wiki/Branchiostoma%20belcheri | Amphioxus or lancelets (Branchiostoma) are members of the Chordata phylum of which all members have a notochord at some point while they are alive. B. belcheri have a notochord, dorsal nerve cord, pharynx, buccal cavity, cirri, tail, dorsal fin, nerve cord, segmented muscle, and ocelli. They are distinguishable by a slightly round dorsal fin, eighty slender preanal fin-chambers, narrow caudal fin, and obtuse angles between fins. They obtain food by filter feeding. They were first reported in 1897 near the Amakusa Islands, specifically off Goshonoura Island, south of Amakusa-Kamishima Island. These islands are located on the west coast of Kyushu, the island furthest south of the four main isles of Japan. In addition to the location of the siting, information regarding reproductive period and morphology was also obtained. B. belcheri are gonochoric, reproducing via external fertilization. B. belcheri are an endangered species, threatened by the influx of pollutants of land-based origin into the sea such as cleaning agents, chemical waste, garbage, mining waste, pesticides, petroleum products, and sewage.
Anatomy and morphology
Branchiostoma belcheri exhibit all basic characteristics of the Chordata phylum including the notochord, dorsal nerve cord, pharynx, buccal cavity, cirri, tail, dorsal fin, nerve cord, segmented muscle, and ocelli. Starting with the internal structure, said organisms have true coeloms where the critical organs develop. The notochord runs down the animal's back with a smooth layer of connective tissue on the exterior, lining an interior core of cells that are loosely packed and contain fluid-filled spaces. The outer sheath resists changes in fluid pressure in the notochord, allowing for flexibility while simultaneously withstanding contraction. In this way the notochord can be characterized as a hydrostatic organ. During muscle contraction, the notochord also plays an important role in withstanding shortening of the body. The dorsal nerve cord is located behind the notochord. The pharynx is another structure made from cartilage for feeding, found near the throat. It is composed of pharyngeal slits that are located between pharyngeal bars which are necessary for feeding.
As for the external structure, the tail extends from the body, following the end of the digestive tract. This is a distinguishing characteristic from other worm types as the anus is located all the way at the bottom, on the back side of animal. The dorsal fin is located on the back side of the animal and is made rigid by cartilage. The nerve cord is found in a similar region and originates as a hollow tube. Within the nerve cord are small clusters of light-sensitive cells called ocelli. Finally, muscle allows for movement and maintenance of bodily position, which can be found in discrete segments along the sides of the body.
Aside from the internal and external structures of B. belcheri, it is worth noting their movement. While typically sedentary, B. belch |
https://en.wikipedia.org/wiki/Thomas%20Kurtzman | Thomas Kurtzman is an American physical chemist most notable for his research into the use of convolutional neural networks (CNNs) to improve pharmaceutical design. According to Bioworld, Kurtzman's research "reached the devastating conclusion that 'the entirety'" of apparent deep learning produced over the course of several years by a CNN dataset highly regarded in academia and industry was illusory. The perceived scientific progress, Kurtzman wrote, was due to CNNs' effective learning of the deficiencies in the dataset. "This is alarming," the article continued, "as companies have been built on this research.
During the COVID-19 pandemic, a computational tool Kurtzman developed, GIST, was used to research potential new drugs to treat the illness.
Kurtzman is a professor of chemistry at the Lehman College and the Graduate Center of the City University of New York. His research is conducted at the affiliated Kurtzman Lab and funded by the National Institutes of Health.
He is married to Mor Armony, vice dean for faculty and research at New York University's Stern School of Business.
References
1969 births
Living people
American physical chemists
CUNY Graduate Center faculty
Lehman College faculty |
https://en.wikipedia.org/wiki/Glass%20Ceiling%20Index | Glass Ceiling Index (GCI) is an index for visualizing the glass ceiling metaphor, created by The Economist, combining data on higher education, labour-force participation, pay, child cares costs, maternity and paternity rights business-school applications and representation in senior jobs. The countries where inequality was the lowest were Iceland, Sweden, Norway, Finland, and Poland. This index shows how women are still lagging their male counterparts in senior business roles. It is updated every year in a rank of 29 OECD countries. It was launched in 2013 when there were five indicators and 26 countries, but today consists of ten indicators including maternity and paternity leaving for 29 OECD countries.
Glass-ceiling index 2021
Source: Statista - Glass-ceiling index 2021
References
Racism
Feminist economics
Feminist terminology
Sexism
Employment discrimination
Women-related neologisms
Industrial and organizational psychology
The Economist |
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