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https://en.wikipedia.org/wiki/Atlantic%20Corridor%20%28disambiguation%29 | Atlantic Corridor may refer to:
Atlantic Axis high-speed rail line, Spanish high-speed railway line
Atlantic Core Network Corridor, Trans-European network of infrastructures connecting Portugal, Spain, France and Germany
Atlantic Corridor, Irish road project |
https://en.wikipedia.org/wiki/Die%20Moskau-Connection | Die Moskau-Connection. Das Schröder-Netzwerk und Deutschlands Weg in die Abhängigkeit (The Moscow Connection. The Schröder Network and Germany's Path to Dependency) is a political non-fiction book in German. It was written by the German FAZ journalists Reinhard Bingener and Markus Wehner. It was published in May 2023 and deals with the political and economic network around Chancellor Gerhard Schröder of the Social Democratic Party of Germany (SPD). It also deals with how Schröder and his network cooperated with Russian President Vladimir Putin. According to the authors, this cooperation was one of the reasons why Germany gave signals of weakness towards Russia. This weakness and division in Europe encouraged Putin to continue with his aggressive policy – up to the Russian invasion of Ukraine in February 2022.
The book was reviewed and quoted in many media and mostly received positively. It made it onto the SPIEGEL bestseller list. The two authors presented it on 14 March 2023 in Hanover at the bookshop Leuenhagen & Paris. At the event, Wehner said in his lecture: "Tens of thousands of deaths in Ukraine are also due to this Russia policy".
Content
According to the preface, Bingener and Wehner want to show how Germany could become dependent on Russia for energy. This was due to mistakes made by the German government, in which an "influential network" with Schröder at its centre played a major role. Schröder, the Minister President of Lower Saxony (1990–98) and Chancellor of Germany (1998-2005), had intermingled political and economic interests and used his contacts even after his chancellorship. Not only social democrats, but also entrepreneurs and business managers had been part of the network (p. 7(/8).
Seven chapters describe: how Schröder's network came into being, Putin's rise in Russia, the "exploitation of a social democratic myth" (namely Brandt's Ostpolitik), the German-Russian gas deals, Russia politics 1998–2013, Russia politics 2013–2021, and the situation after the invasion of February 2022.
In doing so, the authors introduce several people who belonged to Schröder's network or are part of the topic. First of all, there are a number of SPD politicians such as Heino Wiese, who helped organise the network, and also Lars Klingbeil, who, for example, worked as a staff member in the constituency offices of Schröder and Wiese. A larger part of the book is taken up by the descriptions of Wiese, Frank-Walter Steinmeier (Federal Minister and then Federal President), Sigmar Gabriel (Minister President in Lower Saxony and Federal Minister) and Stephan Weil (Minister President in Lower Saxony).
The authors reject the assumption that Schröder no longer played a role in his party after the end of his chancellorship (for example, because of anti-welfare-state Agenda 2010). This may be true for parts of the SPD, but not for the leadership of the federal SPD. They mention Frank-Walter Steinmeier and Sigmar Gabriel, for example. "In addition, the |
https://en.wikipedia.org/wiki/List%20of%20countries%20by%20rate%20of%20fatal%20workplace%20accidents | The List of countries by rate of fatal workplace accidents sorts countries by the rate of workplace fatalities per 100,000 workers. Data is provided by the International Labour Organization (ILO). According to estimates, around 2.3 million people die yearly from work-related accidents or diseases every year.
List of countries
References
Lists of countries
Occupational safety and health |
https://en.wikipedia.org/wiki/Wikimedia%20censorship%20in%20mainland%20China | The censorship of Wikimedia in mainland China means that the government of the People's Republic of China and network operators in mainland China have used technical means since June 2004 to prevent netizens in mainland China from accessing some or all project websites under the Wikimedia Foundation. One of the most affected projects is the Chinese Wikipedia. There was no warning from any department before these blockings occurred and no explanation for the reasons after the occurrence. Every block has delayed the growth of Wikimedia project users to a considerable extent and attracted the attention of netizens and the media. The outside world believes this is caused by the Chinese government's censorship and blocking of sensitive content in Wikimedia Foundation projects.
Blockade history
2004-2008: Several blockades and reversals
On June 3, 2004, Wikipedia was blocked in some cities in mainland China (such as Beijing), but Wiktionary was still available. On June 11, other Wikimedia projects were blocked. On June 17, the IP address block appeared to have been lifted, but it was still impossible to access the website usually. On June 18, all Wikipedia except the Chinese version was unblocked, and the status of the Chinese version was unknown. On June 20, Beijing's access to Chinese Wikipedia still seemed abnormal. The blockade was lifted on June 21. On September 23, Wikipedia was partially blocked, and some users experienced unstable browsing problems while browsing Wikipedia.
On October 19, 2005, all Wikimedia projects were blocked for unknown reasons. At 17:00 (UTC+8), users found that they could not usually access all Wikimedia projects, including Wikipedia. To understand the extent of the impact, the Chinese Wikipedia placed a notice at the top of the homepage on the evening of 19, asking Wikipedia from the Chinese mainland to report the access status on a particular page, according to user feedback, the block is spread across the Chinese continent.
On November 9, 2006, many users reported that the Chinese Wikipedia had been unblocked, which was the first time the Chinese mainland could re-access it since the blockade lasted for over a year on October 19, 2005.
On June 15, 2007, Wikipedia and other Wikimedia project sites in all languages except Chinese Wikipedia were unblocked. Still, some users pointed out that the resumption of access was due to a change in the IP address of the Korean wiki server farm. Meanwhile, Wikimedia server farms in the United States remain inaccessible.
The Great Wall of the Internet has been blocked for nearly a year, and China has unblocked Wikipedia again.
In April 2008, all language versions except Chinese Wikipedia were unblocked.
2010-2013: Blocking of Chinese-language Wikimedia projects and encrypted connections
On November 28, 2010, the Chinese version of Wikisurvey Ming (HTTP) was blocked by the HTTP connection reset, but the encrypted version (HTTPS) can still be viewed commonly. In early 2012, |
https://en.wikipedia.org/wiki/Ehsan%20Hoque%20%28academic%29 | Ehsan Hoque is an American computer scientist and academic. He is an associate professor in the Computer Science Department at the University of Rochester in New York.
Hoque is most known for his work in the field of artificial intelligence, particularly in utilizing AI methods to augment and enhance human capabilities. His work revolves around affective computing, speech processing, and computer vision.
Education
Hoque completed his Bachelor of Science in Computer Engineering from Penn State University in 2004, and then obtained a master's degree in Electrical and Computer Engineering from the University of Memphis in 2007. Later, he completed his Ph.D. in Media Arts and Sciences from the Massachusetts Institute of Technology in 2013, where the MIT Museum highlighted his Ph.D. thesis as one of the most unconventional inventions of MIT. In 2017, he received Alumni Achievement Award from Penn State University.
Career
Hoque began his academic career in 2013 by joining the University of Rochester as an assistant professor in the Computer Science Department, becoming associate professor in 2020.
Hoque served as the Interim Director of the Goergen Institute for Data Science at the University of Rochester between 2018 and 2019, and held the Assaro-Biggar family fellowship from 2016 to 2019. As of 2023, he serves as a board member of the National Academies Health Sciences Policy.
Research
Hoque holds a patent for the concept of utilizing a computer as a conversational mentor, which was introduced in 2012 and later integrated by Microsoft as "Speaker Coach" in PowerPoint. In 2019, along with colleagues, he helped establish the Morris K. Udall Center of Excellence in Parkinson's Disease Research by the National Institute of Neurological Disorders and Strokes (NINDS) at the University of Rochester. He has authored numerous publications spanning the areas of Artificial Intelligence, human-centered computing, and medicine, including articles in peer-reviewed journals.
Social skills training
Hoque has worked in developing computational techniques to enable social skills training. In 2012, he developed an Automated Conversation Helper that utilized a 3D virtual character to act as an interviewer during a job interview. It offered immediate feedback on the participant's nonverbal behavior by employing advanced technology to detect facial expressions, analyze speech patterns and respond in real-time with synthesized speech and behavior. In related research, his work concluded that automated technologies, specifically those that analyze nonverbal communication and provide feedback, such as My Automated Conversation coacH (MACH), offer a personalized approach to enhancing human social interaction and have the potential to be utilized for both practical and therapeutic purposes. He and his students have expanded the research to develop Live Interactive Social Skills Assistant (LISSA) and Standardized Online Patient for Healthcare Interaction Education (SOPHI |
https://en.wikipedia.org/wiki/Cynthia%20Frelund | Cynthia Frelund (born August 24, 1979) is an American television sports analyst and writer currently working for NFL Network, the broadcasting arm of the National Football League, and as a sideline reporter for the NFL's Buffalo Bills. A specialist in predictive analysis, Frelund has worked previously for ESPN and the NFL's League Office.
Biography
Early years and education
Cynthia Frelund was born August 24, 1979, in Okemos, Michigan. She is a graduate of Okemos High School, where she lettered in soccer and volleyball. She grew up as a fan of the National Football League (NFL) and the star running back of the Detroit Lions, Barry Sanders.
After graduation from high school, Frelund enrolled in Boston College, from which she graduated with a Bachelor of Science degree in biology in 2005. Thereafter she enrolled in Northwestern University, from which she graduated with a Master of Business Administration degree in finance, Entrepreneurship and Innovation. She also holds a Master of Science degree in Predictive Analysis from Northwestern.
Following the end of her collegiate studies, Frelund worked for three years as a financial analyst. From there she was hired by the league office of the NFL, where she held a position working as an analyst for the NFL's Chief Financial Officer, Anthony Noto.
While at the league office, Frelund worked on projects like studying the potential costs and benefits of moving away from a schedule of four preseason games and 16 regular season games to a split of two and 18, the viability of moving a team to Los Angeles, and suggesting adaptations to the league's rookie pay scale.
Sports broadcast analyst
After leaving the league office, Frelund worked as a Predictive Analytics specialist for ESPN for nearly four years.
In August 2016 Frelund left ESPN to take a position with her current primary employer, NFL Network. She has worked for NFL Network in a range of high-profile positions, including frequent appearances on such shows as NFL Fantasy Live and NFL GameDay Morning. She also writes a column called "Game Theory" for the NFL's official website.
In a 2018 interview with the Detroit Free Press, Frelund described her role as a sports journalist as "using analytics and combining that with information I gather from watching film, talking to people around the NFL, and former players I work with to come up with ways to help fans see the game through a different lens."
In the same interview, Frelund was careful to make a distinction between sports statistics and analytics:
"Statistics is seeing that two defensive ends had about the same number of sacks, but analytics can measure who is the better player of the two. That often has to do with what they are asked to do in the specific defenses they are in and how well they do it."
In conjunction with her job, Frelund makes use of computer modeling, writing her own code to generate thousands of simulations of each game, from which predictions can be derived.
Since 20 |
https://en.wikipedia.org/wiki/Xinping%20Cui | Xinping Cui is a biostatistician focusing on metagenomics and associated problems in high-dimensional inference and data analysis including the multiple comparisons problem. Originally from China, she works in the US as a professor of statistics at the University of California, Riverside. She is a former chair of the university's Department of Statistics, and the director of the Riverside Statistical Consulting Collaboratory.
Education and career
Cui graduated from Nankai University in 1994, with a bachelor's degree in mathematics. She earned a master's degree in mathematics from Nankai University in 1997, and a second master's degree in applied statistics from Bowling Green State University in 1998. She went to the University of California, Los Angeles for doctoral study in biostatistics, completing her Ph.D. in 2002. Her dissertation, Quantitative trait linkage analysis of Saccharomyces cerevisiae gene expression data, was supervised by David Elashoff.
While at UCLA, she also worked as a statistical analyst in the UCLA Reed Neurological Research Center. After completing her doctorate, she became an assistant professor at the University of California, Riverside, where she was tenured in 2008. She was chair of the university's Department of Statistics from 2015 to 2021.
Recognition
Cui is an Elected Member of the International Statistical Institute. She was named as a Fellow of the American Statistical Association in 2023.
References
External links
Cui Lab
Year of birth missing (living people)
Living people
Chinese statisticians
American statisticians
American women statisticians
Biostatisticians
Nankai University alumni
Bowling Green State University alumni
University of California, Los Angeles alumni
University of California, Riverside faculty
Elected Members of the International Statistical Institute
Fellows of the American Statistical Association |
https://en.wikipedia.org/wiki/Michael%20Kives | Michael Kives (born January 31, 1981) is a Canadian investor and former talent agent; he is known for his extensive network and influential connections.
Early life and education
Kives grew up in Winnipeg, Manitoba. He went to St. John's-Ravenscourt School in Winnipeg. He was active on the debating team, and won the World Individual Debating and Public Speaking Championships in 1998 and 1999. After reading books about entertainment players David Geffen, Michael Ovitz and Barry Diller, he decided from an early age he wanted to be a talent agent. He went to Stanford, where he met the Clintons. President Bill and Hillary Clinton came in for daughter Chelsea's 2001 graduation. He found a way to cover the story for the college newspaper, and this led to a longstanding relationship with the Clintons.
Career
After graduating Phi Beta Kappa from Stanford, his first job was as an interim spokesperson for former President Clinton at his Harlem, New York office. This was followed by working as an aide for Senator Hillary Clinton at her D.C. office. His first media break was getting a job in the Creative Artists Agency (CAA) mailroom. Being Canadian he needed a work visa, and CAA made an exception to their standard practice to sponsor him for one. He spent 15 years there, working his way up to agent, representing Katy Perry, Arnold Schwarzenegger, Jesse Eisenberg and Bruce Willis, among others. He left in 2018 to co-found a media and financial investment-advisory firm, K5 Global. In June, 2023, K5 reported over $1 billion in managed assets and investments in 148 companies apart from funds linked to FTX.
He has been described as a super connector. He introduces clients to "a who's who of business and social leaders, from Leonardo DiCaprio to the governor of the Saudi Arabia Public Investment Fund."
A beneficiary of Kives' network was Sam Bankman-Fried, the former FTX CEO. Bankman-Fried was connected to MasterClass, President Clinton, Orlando Bloom, Nelson Peltz, Bobby Kotick, Larry Fink, and Katy Perry, among others. The relationship between Kives and Bankman-Fried has been noted to be mutually beneficial. Bankman-Fried invested $700 million in K5 Global, with Kives receiving $125 million as part of the deal. Bankman-Fried was alleged to have said Kives was “something of a one-stop shop for relationships that we should utilize.” On June 22, 2023, FTX bankruptcy lawyers sued to claw back the $700 million, claiming that the investment was made to burnish his own political and social influence.
Personal
Kives married Lydia Gray in 2018. Gray is a civil rights lawyer with a focus on criminal justice and First Amendment issues, and a graduate of Stanford Law. Guests at the wedding included the Clintons, who gave a speech together.
Kives was a major fund-raiser for Hillary Clinton in the 2016 campaign, bundling more than $5 million.
Kives has two homes in Southern California; a $12.7 million house in Beverly Hills and a $9.1 million historic Tudor-st |
https://en.wikipedia.org/wiki/Thomas%20J.%20Palmeri | Thomas Palmeri is a professor of psychology at Vanderbilt University. He serves as Chair of the Psychology department. He is co-director of the Data Science Institute at the university’s Department of Psychology. He heads the Category Laboratory (CatLab) there.
Recognition
American Psychological Association Division of Experimental Psychology New Investigator Award, 1998.
Elected Fellow of the Psychonomic Society in 1998.
Chancellor’s Award for Research at Vanderbilt University in 2009
Elected Fellow of the Association for Psychological Science in 2015
Distinguished Professor at Vanderbilt, 2019
Research
The CatLab investigates visual cognition, including visual categorization, visual memory, and visual decision making. The lab studies how objects are perceived and represented by the visual system, how visual knowledge is represented and learned, and how visual decisions are made. These questions are addressed using behavioral experiments, cognitive neuroscience techniques, and computational and neural modeling.
Palmeri's contributions link experience, expertise, perception, and decision-making. He showed that the development of expertise often involves a transition from rule-based to instance-based reasoning. In other work, he found that experience with new categories can influence perceptual abilities. He studied how naming objects affects their visual memory, testing prior claims that had been made but that were inconsistent with existing memory models.
In collaboration with Gordon Logan and Jeffrey Schall, he developed neural models to account for decision-making performance in quick response tasks and led to several publications, including in Psychological Review.
References
Vanderbilt University faculty
21st-century American psychologists
Year of birth missing (living people)
Living people
20th-century American psychologists
Fellows of the Association for Psychological Science
Place of birth missing (living people) |
https://en.wikipedia.org/wiki/Leilani%20Battle | Leilani Marie Battle is an American Computer Science Assistant Professor at University of Washington's Paul G. Allen School of Computer Science & Engineering. Leilani Battle is also a co-director in UW's interactive Data Lab program. She is known for her research into Graphical Visualization of Database systems that involve both small scale, and large scale, multi-dimensional data. She is also known from her Research into predictive Prefetching (computing) to speed up database queries.
Early life and education
Battle grew up with a love for video games. Because of this she originally chose computer science to become a game designer or a developer. Battle then went to University of Washington and earned her B.S. in Computer Engineering in 2011. However, when she started doing research internships, instead of pursuing a career in video games, the experience changed her interest in doing research as she enjoyed it.
She then went to Massachusetts Institute of Technology (MIT) where she earned her Computer Science M.S. in 2013 and Ph.D. in 2017. She also finished a postdoc at the University of Washington's Interactive Data lab in 2017. During her time with MIT and her Ph.D. work, she also help create a tool that helps with creating a more time-efficient researching tool for large databases called ForeCache.
Career
Battle was an assistant professor at University of Maryland, College Park where she led a team, the Battle Data Lab. She is now an assistant professor in University of Washington's Paul G. Allen School of Computer Science & Engineering where she teaches and mentors students, and conducts research into databases, where she focuses with Human–computer interaction to integrate databases and HCI interfaces to create visualizations for larger databases.
She is also part of professional Computer Science Organizations such as Association for Computing Machinery, and IEEE Visualization where she either held program co-chairs or was a co-organizer for some workshops.
Completed projects
Characterizing Exploratory Visual Analysis
Leilani Battle, in conjunction with Jeffrey Heer in 2019 worked on understanding the role of Exploratory Visual Analysis (EVA) in Data Science. She uses her data and compares the data collected from a visual analysis tool Tableau Software. She observes that there is a noticeable slowness that can be improved with data prediction. These findings were presented in EuroVis 2019.
Sculpin
Sculpin is a data visualization program created in 2017 that utilizes predictive Prefetching (computing), and incremental Precomputation to display large scale, multidimensional data. This was also created in collaboration with scientists to analyze NASA Moderate Resolution Imaging Spectroradiometer data.
ForeCache
ForeCache is a general-purpose program to create time efficient tool for visualizing large data-sets that interact with Database Management Systems published in 2015. It utilizes predictive Prefetching (computing) by comp |
https://en.wikipedia.org/wiki/Certify%20%28disambiguation%29 | To certify something is to attest that it meets certain requirements.
Certify may also refer to
Certify Data Systems
Certify (horse)
See also
Certificate (disambiguation)
Certified (disambiguation) |
https://en.wikipedia.org/wiki/N.S.-Funk | N.S.-Funk ("National Socialist Radio") was a German magazine published from Munich and Berlin between 1933 and 1939. It provided listings of radio programming schedules and reviewed programmes in accordance with the party line.
History
In 1932, the Nazi party leadership decided to start a radio magazine of its own to compete with the various existing radio magazines. The publication was founded in February 1933 as the first official Nazi radio magazine, tasked with providing listings of radio programming schedules in Germany and reviewing them in accordance with the party line. It replaced the radio magazine ('The German Broadcaster'), as the former (RDR) was taken over by the Reich Broadcasting Chamber. It was published from Munich and Berlin until 1939, when it was merged into the magazine Volksfunk ('People's Radio').
N.S.-Funk was a central organ of the Nazi Party (NSDAP) and the (a body within the Reich Chamber of Culture). It was published by Franz Eher Nachfolger, the central publishing body of the Nazi Party. It had an editorial branch office at Zimmerstrasse 88 in Berlin. Heinz Frante was the editor in chief of N.S.-Funk. Over time, N.S.-Funk grew in popularity, by early 1937 it reached a circulation of about a quarter million copies.
In contrast to other contemporary German radio magazines N.S.-Funk was published in various regional editions, covering each of the different broadcasting districts, such as Bavaria, Berlin, Silesia, East Prussia, Saar-Palatinate, Central Germany, Western Germany, Southwest Germany, North Germany and South Germany. It was an illustrated weekly.
During the prolonged Volkssender-Aktion propaganda campaign, each copy of N.S.-Funk would typically carry one or two pages dedicated to the announcements of the campaign. The publication Funktechnischer Vorwärts functioned as the radio technical edition of N.S.-Funk and Volksfunk.
References
Magazines established in 1933
Publications disestablished in 1939
Magazines published in Munich
Magazines published in Berlin
Nazi newspapers |
https://en.wikipedia.org/wiki/ChatGPT%20availability%20by%20country%20or%20region | As of August 2023, the list of countries & regions supported where the ChatGPT artificial intelligence chatbot is supported are as follows:
References
ChatGPT |
https://en.wikipedia.org/wiki/Adobe%20Firefly | Adobe Firefly, a product of Adobe Creative Cloud, is a generative machine learning model that is used in the field of design. It is in the public beta test phase.
Background
Adobe Firefly is developed using Adobe's Sensei platform. Firefly is trained with images from Creative Commons, Wikimedia and Flickr Commons as well as 300 million images and videos in Adobe Stock and the public domain. It uses image data sets to generate various designs. It learns from user feedback by adjusting its designs.
Firefly for Enterprise was released June 22, 2023.
Images of nudity are banned.
History
Adobe Firefly was first announced in September 2022 at Adobe's MAX conference. It was initially released as a public beta in March 2023, and is currently available to all Adobe Creative Cloud subscribers.
Adobe Firefly is built on top of Adobe Sensei, the company's AI platform. Sensei has been used to power a variety of features in Adobe's creative software, such as object selection in Photoshop and image auto-enhancement in Lightroom.
NVIDIA Picasso runs some Adobe Firefly models.
Google plans to use Firefly in Bard.
Mattel, IBM, and Dentsu have partnered with Adobe.
Demo showed a capability for Generate Variations of photos.
References
2023 software
Firefly
Text-to-image generation |
https://en.wikipedia.org/wiki/Flash%20Fiber | Flash Fiber S.r.l. was an Italian company 80% owned by Telecom Italia S.p.A. and 20% by FASTWEB S.p.A., established in 2016 with the aim of creating or completing FTTH fiber-optic networks.
In 2021 it merged into FiberCop S.p.A.
History
Flash Fiber was born on 28 July 2016 as a joint venture 80% controlled by Telecom Italia and the remaining 20% by FASTWEB, set up with the aim of accelerating the creation of ultra-broadband infrastructure. In particular, on the basis of the co-investment agreement, Flash Fiber aimed to build fiber-optic networks in FTTH (Fiber-To-The-Home) architecture in 29 cities.
On April 1, 2021 Flash Fiber ceased its activities as a result of the incorporation into the new company FiberCop, which will head all the development activities of the new FTTH network.
References
External links
TIM Group
Italian companies established in 2016
Telecommunications companies established in 2016
Companies based in Milan
Telecommunications companies of Italy |
https://en.wikipedia.org/wiki/Amuzu | Amuzu is a Ghanaian surname. Notable people with the surname include:
Anne Amuzu, Ghanaian computer scientist
Cynthia Amuzu (born 1965), Ghanaian badminton player
David Amuzu (born 1998), Ghanaian footballer
Francis Amuzu (born 1999), Ghanaian footballer |
https://en.wikipedia.org/wiki/Nickelodeon%20%28Australian%20TV%20channel%29 | Nickelodeon is an Australian free-to-air digital television multichannel owned by Network 10. It launched as 10 Shake on 27 September 2020 at 6am. The channel rebranded as Nickelodeon on 1 August 2023. This resulted in the end of the pay-television Nickelodeon channel broadcasting on Foxtel in Australia.
The channel includes a mix of shows for people aged forty and under. It broadcasts programming for children from 6am to 6pm, and from 6pm to 6am shows for young teens to adults.
History
10 Shake (2020–2023)
In May 2020, ViacomCBS Australia and New Zealand Chief Content Officer and Executive Vice President, Beverley McGarvey, announced that Network 10 would unveil a fourth digital channel later in the year. Complementing Channel 10, 10 Peach and 10 Bold, the fourth channel would appeal to the under 50s audience. Further announcements about the channel would be made in the coming months.
On 13 July 2020, it was announced that Network 10 would launch a third digital channel, 10 Shake, in September. The network carries children's programmes (drawing primarily television series from Nickelodeon brands), while evening and prime time hours feature "edgy" series and films targeting young adults under 40, including programmes from Comedy Central and MTV, and other imported programmes such as The Late Late Show with James Corden.
It was confirmed on 13 September 2020 that the new multi channel would launch on Sunday 27 September on Channel 13 in metropolitan markets in time for children's school holidays in many states. Regional viewers via WIN Television were required to access streaming platform 10 Play to find the new content, since WIN did not plan to launch 10 Shake in the near future. But with WIN re-affiliating with the Nine Network in 2021, 10 immediately signed for a re-affiliation deal with SCA that would include carriage of that channel. On 14 September 2022, 10 Shake launched on Foxtel.
Nickelodeon (2023–present)
On 22 June 2023, it was announced that 10 Shake would rebrand as Nickelodeon on 1 August. Under its new format, the channel will carry Nick Jr. programming during the daytime, series from the main Nickelodeon brand throughout the afternoon, and a regional variant of Nick at Nite focused on acquired sitcoms and films from the Paramount Pictures library. This resulted in the end of the pay-TV Nickelodeon channel broadcasting on Foxtel in Australia, whilst continuing to be provided on Fetch TV and Sky (New Zealand).
Programming
Prior to the rebrand, 10 Shake featured a mix of repeated shows from their slate of output deals, and shows that made their debut on Australian free-to-air television. Most of its programming was sourced from the library of Network 10's parent company Paramount and its television brands from CBS, MTV, Nickelodeon and Comedy Central.
Nickelodeon airs local Australian children's programming, including Totally Wild, Crocamole and other C-classified dramas. Also locally produced for the network was short-form s |
https://en.wikipedia.org/wiki/Colorado%20Health%20Network | Colorado Health Network (CHN), is a 501(c)(1) nonprofit organization based in Colorado that provides health and support services to individuals living with or at risk of HIV/AIDS. Additionally they offer programs and resources for individuals impacted by Hepatitis C, STDs, and substance abuse. The organization's CEO is Darrell Vigil.
Fundraisers
As a nonprofit organization, Colorado Health Network runs multiple annual fundraising events throughout the year.
Red Ball
Red Ball is an annual fundraiser fashion event in Denver, organized to raise AIDS awareness and honor World AIDS Day. The red-themed event is inspired by the AIDS awareness ribbon.
Red Ribbon Ball
Red Ribbon Ball is a fundraising event ran since 1994. The event had 200 guests in 2022, and raised $35,000. Sponsors included Gilead, UCHealth, Centura / Penrose Hospital, El Pomar Foundation, Infectious Disease Specialists, Gray Line, Walgreens, Cheetah Printing, Ent Credit Union, Peak Vista Community Health Centers.
References
Organizations based in Colorado
Non-profit organizations based in Colorado
Charities based in Colorado |
https://en.wikipedia.org/wiki/David%20House%20%28computer%20designer%29 | David (or Dave) House is an American engineer and computer designer. He was an executive at Intel, where he led the division that produced the company’s microprocessor product line. He was one of the key architects of the company’s marketing and was credited for coining the slogan “Intel Inside”, which was used in the advertising campaign that made Intel a household name.
Biography
House completed a BSEE at Michigan Technological University in 1965. He then obtained an MSEE in 1969 from Northeastern University.
Career
House began his career as a computer designer. He worked for Raytheon’s Computer and Communications Division. Because the company was situated in Boston, he was able to complete his masters at Northeastern University. At Raytheon, he designed data acquisition and computer communications systems.
House became part of Honeywell Computer Control Division beginning in 1968. His work involved the design of mini computers. In 1972, he became the director of Microdata’s computer development division. Two years later, he joined Intel. His first job title was “manager of applications”. He took on greater responsibilities and eventually rose to the position of general manager of the company’s Microcomputer Components Division.
Under his tenure, Intel developed the world’s first commercial processor, the 4004. Two other microprocessors followed, the 8008 and 8080, until Intel’s leadership in the market began to be challenged by Zilog’s 16-bit microprocessor, Z8000. House addressed the problem by leading the shift in Intel’s corporate culture from purely engineering focused toward marketing.
In his 22 years at Intel, House was credited for growing the microprocessor division of the company from $40 million to $4 billion annually. He launched the company’s Server Product’s Division, establishing the company’s foothold in the service business market. Today, Intel has over 85 percent market share. House also led the team that developed the “Intel Inside” campaign. He was credited for coining “Intel Inside”, an ingredient marketing slogan that helped launch Intel as one of the most recognized brands in the world.
After more than two decades, House left Intel and was tapped as the President and CEO of Bay Systems, which was then a struggling company fresh from a merger. He is credited for improving the company’s profitability through reorganization, better marketing efforts, new acquisitions, and the creation of new product divisions. In 2001, he became the CEO of the startup company, Allegro.
Moore’s law
House is also noted for his theory related to Moore’s law, which holds that the number of transistors that can be placed on an integrated circuit doubles every two years. This period is often identified as 18 months, a period that is part of House’s own take on the growth of chip performance.
References
Living people
Intel people
Michigan Technological University alumni
Northeastern University alumni
RTX Corporation people
Computer en |
https://en.wikipedia.org/wiki/Miguel%20Modestino | Miguel A. Modestino is a Venezuelan-born chemical engineer and co-founder of Sunthetics along with Myriam Sbeiti and Daniela Blanco. Sunthetics uses artificial intelligence to optimize chemical reactions by inducing electrical pulses, from renewable energy, into the reaction instead of just heating them. Modestino is a part of the Joint Center for Artificial Photosynthesis, which is a group focused on reducing the need for fossil fuel by developing solar fuels as a direct alternative. Modestino also formed a group called the Modestino Group, which specialize in developing state of the art electrochemical devices to optimize and tackle the issues revolving renewable energy at New York University (NYU), where he is the Donald F. Othmer Associate Professor of Chemical Engineering and the Director of Sustainable Engineering Initiative.
Education
Miguel Modestino earned his bachelor's degree in chemical engineering in 2007 and his M.S. in chemical engineering in 2008 from Massachusetts Institute of Technology (MIT), and a PH.D. in chemical engineering from University of California, Berkeley in 2013.
During his time at MIT, Modestino was a research assistant from October 2003 to June 2007 under the supervision of Paula Hammond, and worked on film assembly which used a layer-by-layer method for biomedical purposes, while he was working towards his B.S. in chemical engineering. He remained at MIT to complete his M.S. in chemical engineering while simultaneously being a Teaching Assistant for Chemical Engineering Projects Lab from February 2008 to May 2008. In between his M.S. and starting his Ph.D., Modestino was an intern at Novartis and BP in 2008 under David H. Koch School of Chemical Engineering Practice. After he obtained a Ph.D., Modestino did his postdoctoral research at École Polytechnique Fédérale de Lausanne (EPFL) from 2013 to 2016.
Research and career
Modestino is currently the Donald F. Othmer Associate Professor of Chemical Engineering and the Director of Sustainable Engineering Initiative at NYU. At NYU, Modestino carries out his research into renewable energy and production of eco-friendly electrochemical devices.
Sunthetics
Modestino co-founded Sunthetics, along with NYU graduates Myriam Sbeiti and Daniela Blanco.
Sunthetics is a startup company whose goal is to reduce to reliance on fossil fuels for heating chemical reactions and instead using electrical pulses to supply energy for various chemical reactions to occur. Initially the idea was coined by Blanco as part of her PhD thesis at NYU. The goal was to apply this to nylon, however due to the lack of support from nylon manufacturing companies the idea pivoted to Artificial Intelligence to drive chemical reactions through renewable energy. This led to machine learning optimizing this technology to be applied across several industries.
Modestino Group
The Modestino Group focuses on the development of electrochemical devices, which are devices used in energy conversion technol |
https://en.wikipedia.org/wiki/Africa%20Information%20Highway%20initiative | The African Information Highway Initiative is a mega network of live open data platforms (ODPs) linking all African countries and 16 regional organizations. It was launched in November, 2012 by Statistics Department of the African Development Bank (AfDB) as a platform for sharing data and resources.
References
Open data portals |
https://en.wikipedia.org/wiki/Database%20consumption | Database consumption () refers to a way of content consumption in which people do not consume a narrative itself, but rather consume the constituent elements of the narrative. The concept was coined by the Japanese critic Hiroki Azuma in the early 2000s.
Overview
The background to Azuma's presentation of this theory is the concept of narrative consumption by the critic and writer Eiji Ōtsuka.
In his A Theory of Narrative Consumption, Ōtsuka cites franchises like Bikkuriman stickers and Sylvanian Families as examples, pointing out that people are not consuming the items but the "grand narratives" (, worldviews and setting) behind them. He called the paradigm of consumption mainly found since the 1980s "narrative consumption". It is also referred to as "worldview consumption" () to avoid the ambiguity of "narrative" which specifically means "grand narrative (worldview and setting)" in this theory.
Based on Ōtsuka's work, Azuma replaces "grand narrative (worldview and setting)" in the theory of narrative consumption with "grand non-narrative (stacks of information)" () and use the term "database consumption" to describe the new paradigm of consuming a huge "database" shared within a community. This form of consumption is particularly prominent in Japanese otaku culture since the late 1990s .
The new consumption paradigm is closely related to the advent of postmodernism. In essence, otaku culture and the postmodern condition are thought to have the following points in common: 1) As stated by Jean Baudrillard, it is no longer possible to distinguish between the original and the simulated, and thereby the in-between simulacra prevail in hyperreality, which parallels the difficulty to distinguish derivative works and media mix from the original works in otaku culture; 2) Jean-François Lyotard defined postmodernism as the decline of grand narratives (norms shared by society as a whole) and the emergence of many localized, little narratives (norms shared only within small communities), which corresponds to otaku culture's unique value norm that the fictional world rather than the real world is paid more attention to.
While narrative consumption could be seen as fabricating pseudo-"grand narratives" with worldviews behind works to compensate for the lost grand narrative (partial postmodernism), in database consumption, however, even fabrication is abandoned (full postmodernism). Therefore, in (full) postmodern otaku culture, by accessing the database (stacks of information) that varies depending on personal interpretations, various settings are extracted by different people to create different original and derivative works (indistinguishable between originals and copies).
In Lacanian terminology, "grand narrative" could be seen as "the Symbolic", "little narrative" as "the Imaginary", and the "database" as "the Real". However, psychiatrist Tamaki Saito, while acknowledging such correspondence is understandable as a metaphor, believes the equivalent |
https://en.wikipedia.org/wiki/Kereta%20Cepat%20Indonesia%20China | PT Kereta Cepat Indonesia China (, abbreviated as KCIC) is an Indonesian transportation company that operates the Indonesian high-speed rail network built on the Jakarta–Bandung route in the Parahyangan megapolitan area.
The company is a joint venture between PT Pilar Sinergi BUMN Indonesia (PSBI) by 60% and Chinese state-owned consortium company Beijing Yawan HSR Co. Ltd. by 40%. PSBI itself is a joint venture of Indonesian state-owned enterprises consists of Kereta Api Indonesia (51.37%), Wijaya Karya (39.12%), Jasa Marga (8.3%), and Perkebunan Nusantara VIII (1.21%). Beijing Yawan HSR Co. Ltd. is also a joint venture, formed by Chinese state-owned enterprises including China Railway Group Limited (42,88%), Sinohydro (30%), CRRC (12%), China Railway Signal & Communication (10.12%), and China Railway International (5%).
History
China's bid and the establishment of KCIC
In April 2015, the People's Republic of China competed with Japan when the two countries offered their high-speed trains to Indonesia. This competition, according to The Jakarta Post, is part of a geopolitical and economic rivalry between the two countries to gain strategic influence in the Asia-Pacific region. After the project was nearly canceled at the end of September, Indonesia chose China as the winner of this 75 trillion rupiah (US$5 billion) project.
On 2 October 2015, PT Pilar Sinergi BUMN Indonesia (PSBI) was formed as a consortium of four state-owned enterprises involved in the high-speed train development process namely: Kereta Api Indonesia, Wijaya Karya, PTPN VIII, and Jasa Marga. On 6 October, the formation of the consortium was reported to the Financial Services Authority, and President Joko Widodo passed Presidential Regulation (Perpres) No. 107 of 2015 concerning the Acceleration of Implementation of Fast Train Infrastructure and Facilities between Jakarta and Bandung. The company will invest in a joint venture.
The joint venture is called PT Kereta Api Indonesia China, with 60% ownership of PSBI and 40% of China Railway International Company Limited. The company was formed on 16 October 2015 and is planned to prioritise commercialisation, not burden the state budget, and promote synergies between businesses. Responding to this new partnership, Japanese Prime Minister Yoshihide Suga stated he "deeply regretted" and "difficult to understand" Indonesia's choice. However, BUMN Minister Rini Soemarno said that China's financial structure was considered more profitable because China's proposal did not require guarantees and funding from the Indonesian government.
Construction
To start construction, Joko Widodo (Jokowi) passed Presidential Regulation no. 3 of 2016 as a National Strategic Project. On 21 January 2016, Jokowi laid the first stone for construction in the Walini Tea Plantation area owned by PTPN VIII. The estimated financing for the construction process reaches IDR 70 trillion.
In 2017, in the City of Beijing, PRC, a Facility Agreement for Infrastru |
https://en.wikipedia.org/wiki/Writesonic | Writesonic was founded by Samanyou Garg in October 2020, the company specializes in artificial intelligence tools for quick content creation. The platform is powered by GPT-3.5 and GPT4 32K. Writesonic allows its AI to provide real-time results based on real-time information provided by Google.
History
Writesonic is a San Francisco-based company founded by Samanyou Garg in October 2020, specializing in AI-powered tools for quick content creation and customer engagement. Previously known as Magicflow, Writesonic started by acquiring seed funding of $2.5M from investors including Y-Combinator, HOF Capital and Soma Capital. WriteSonic powered by GPT-3.5 and GPT4 32K. Writesonic allows its AI to provide results based on results from real time Google search results.
It has been named TechRadar's #1 Chat AI Writer for 2021, 2022, and 2023 due to its enhanced features and its AI's ability to provide results based on real-time information.
Three other products that are a part of Writesonic are Photosonic, Chatsonic, and Botsonic:
Photosonic is an AI art generator that enables users to create unique art pieces and photo-realistic images in seconds. Images can be based on real-time information from Google.
Botsonic is a no-code AI chatbot builder that allows users to create custom chatbots for their websites using GPT-4 and natural language processing.
Chatsonic is a powerful conversational AI, powered by GPT-4, that's similar to ChatGPT but with added capabilities. Integrated with Google's knowledge graph, Chatsonic provides up-to-date and factual information.
As of 2023, Writesonic has over 3,000,000 users.
Controversy
After the film Navalny, which details the life of Russian dissident politician Alexei Navalny, won the Academy Award for the Best Documentary, the site The Grayzone published an article by Lucy Komisar that criticized the film. The article, which contained several false links and references, was later determined to be written by AI content software Writesonic.
Lucy Komisar later claimed that she only cited information written by Chatsonic, an AI bot by Writesonic that can write content off of real-time Google search results.
Further reading
Almaraz-López, C.; Almaraz-Menéndez, F.; López-Esteban, C. Comparative Study of the Attitudes and Perceptions of University Students in Business Administration and Management and in Education toward Artificial Intelligence. Educ. Sci. 2023, 13, 609. https://doi.org/10.3390/educsci13060609
Chaka, C., 2023. Generative AI Chatbots-ChatGPT versus YouChat versus Chatsonic: Use Cases of Selected Areas of Applied English Language Studies. International Journal of Learning, Teaching and Educational Research, 22(6), pp.1-19
References
Companies established in 2020
AI companies
AI software |
https://en.wikipedia.org/wiki/LakeFS | lakeFS is a free and open-source software developed by Treeverse. It provides scalable and format-agnostic version control for data lakes, using Git-like semantics to create and access different data versions.
First released in August 2020, its features include data version tracking, isolated development and testing, repository rollback, continuous data integration and deployment.
History
lakeFS was developed by Oz Katz and Einat Orr in 2020.
Its first public release, v0.8.1, was provided by Treeverse in August 2020. This version provided Git-like operations for any file format and AWS S3 storage compatibility, featuring a versioning engine based on MVCC.
In 2021, the versioning engine transitioned to Graveler, increasing its handling capacity to billions of objects with a limited performance impact.
In July 2021, Treeverse, the parent company of lakeFS, received an investment of $23 million in a Series A funding round, led by Dell Technologies Capital, Norwest Venture Partners, and Zeev Ventures.
In June 2022, lakeFS Cloud was introduced as a managed service to facilitate versioning in cloud data lakes. This service helps mitigate challenges related to tracking data changes and reverting to previous versions.
Treeverse's development of lakeFS was supported by a $23 million Series A funding round.
Software
Overview
lakeFS is a data versioning engine that manages data in a way similar to code. By using operations such as branching, committing, merging, and reverting, which resemble those found in Git, it facilitates the handling of data and its corresponding schema throughout the entire data life cycle.
Features
lakeFS is an interface made for interaction with object stores such as S3 as well as data management systems, such as AWS Glue and Databricks. The system assigns the task of actual data storage to backend services such as AWS, while it handles branch tracking and supports multiple storage providers.
lakeFS simplifies branch creation, tracking, and merging. It removes the need for complete dataset duplication during testing phases, thereby isolating experimental modifications. It also streamlines branch operations, supporting the creation, merging, or deletion of branches as required. Furthermore, it integrates with continuous integration and deployment pipelines via webhooks.
When dealing with arbitrary object storage, lakeFS processes data blocks via API calls. It stores branching information as metadata, enabling efficient subsequent object management as needed.
lakeFS hooks
lakeFS hooks enable specific checks and validations before key lifecycle events. Unlike Git Hooks, these hooks activate remote servers to run tests. They can be configured to assess table schemas when merging data from development or test branches into production; if validation fails, the merge is blocked. This function serves as a tool for schema enforcement and standardized rule application across various data sources and producers.
Events that ca |
https://en.wikipedia.org/wiki/Paber%C5%BE%C4%97%20Eldership | Paberžė Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, northwest of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 60%
Lithuanians - 20%
Russians - 13%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Nemen%C4%8Din%C4%97%20Eldership | Nemenčinė Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, north of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 66%
Lithuanians - 25%
Russians - 7%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Nem%C4%97%C5%BEis%20Eldership | Nemėžis Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, east of Vilnius.
Ethnic composition
According to 2021 National Census data, the ethnic composition is as follows:
Poles - 4477 (50.0%)
Lithuanians - 2604 (29.1%)
Russians - 899 (10.0%)
Belarusians - 429 (4.8%)
Ukrainians - 119 (1.3%)
Other - 322 (3.6%)
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Pagiriai%20Eldership | Pagiriai Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, south of Vilnius.
Ethnic composition
According to 2021 National Census data, the ethnic composition is as follows:
Poles - 42,4%
Lithuanians - 39,4%
Russians - 7.8%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Ariela%20Sofer | Ariela Sofer is an Israeli and American operations researcher whose research expertise includes algorithms for mathematical optimization and their application to the reconstruction of three-dimensional shapes from positron emission tomography. She is a professor of systems engineering and operations research at George Mason University, and Divisional Dean for the Volgenau School of Engineering at George Mason University.
Education and career
Sofer has a bachelor's degree in mathematics and a master's degree in operations research from the Technion – Israel Institute of Technology. She completed a Ph.D. in operations research at George Mason University in 1984, with the dissertation Efficient matrix methods for solving nonlinearly constrained optimization problems via Newton's method when the projected Lagrangian Hessian is given in dyadic form.
As a faculty member at George Mason University, she chaired the Systems Engineering and Operations Research Department for nearly 16 years before becoming associate dean in 2018, interim dean in 2020, and divisional dean in 2023.
Books
Sofer's books include:
Linear and Nonlinear Programming (with Stephen G. Nash, McGraw Hill, 1996)
Linear and Nonlinear Optimization (with Stephen G. Nash and Igor Griva, Society for Industrial and Applied Mathematics, 2008)
Recognition
Sofer was named as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2016. She is also a 2018 Fellow of the Institute of Industrial and Systems Engineers (IISE) and a 2022 Fellow of the International Council on Systems Engineering (INCOSE), "for significant contributions to systems engineering education and advancing the recognition of systems engineering in academia".
References
External links
Home page
Year of birth missing (living people)
Living people
American engineers
American women engineers
Israeli engineers
Israeli women engineers
Systems engineers
Women systems engineers
American operations researchers
Israeli operations researchers
Technion – Israel Institute of Technology alumni
George Mason University alumni
George Mason University faculty
Fellows of the Institute for Operations Research and the Management Sciences |
https://en.wikipedia.org/wiki/Medininkai%20Eldership | Medininkai Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, east of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 80%
Belarusians - 7.3%
Lithuanians - 6.5%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Mai%C5%A1iagala%20Eldership | Maišiagala Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, west of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 50%
Lithuanians - 32%
Russians - 13%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Mick%C5%ABnai%20Eldership | Mickūnai Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, north-east of Vilnius.
Ethnic composition
According to 2021 National Census data, the were 5409 inhabitants in Mickūnai eldership and the ethnic composition is as follows:
Poles - 56.6%
Lithuanians - 26.5%
Russians - 7.2%
Belarusians - 5.5%
According to 2011 National Census data, the ethnic composition was the following:
Poles - 63%
Lithuanians - 21%
Belarusians - 7%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Marijampolis%20Eldership | Marijampolis Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, south of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 63%
Lithuanians - 24%
Russians - 9%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Rudamina%20Eldership | Rudamina Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, east of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 51%
Lithuanians - 32%
Belarusians - 9%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/National%20Credit%20Network | The National Credit Network is an Iranian food, staple and other goods coupon ration program established by the government of Iran in June 2023.
Grocery stores, wholesalers, and supermarkets can register to sell eligible products, while purchases made in a few national chain stores (such as Refah) may be covered by coupons.
The program was a failure. It failed in providing better priced nutrition to poor people population shopping.
Phases
Payments for subsidized goods are made through each eligible family's monthly subsidy payment. There is an app available for families of social class tiers 1 - tier 3 (families in tiers 4 to 9 are excluded.) Families are paid 300,000 toman ($6) and can use their next month's subsidy pay too as credit, they get 80,000 extra monthly if they buy select products.
Phase 2 might include another 25 million of the population.
The app covers members of Islamic republic military, Behzisti (Disability support organization
) Imam Khomeini Relief Foundation.
References
Iran-related lists |
https://en.wikipedia.org/wiki/Suderv%C4%97%20Eldership | Sudervės Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, west of Vilnius.
Ethnic composition
According to 2021 National Census data, the ethnic composition is as follows:
Lithuanians - 50.2%
Poles - 38.8%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/Su%C5%BEionys%20Eldership | Sužionys Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, north of Vilnius.
Ethnic composition
According to 2011 National Census data, the ethnic composition is as follows:
Poles - 83%
Lithuanians - 9%
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/%C5%A0atrininkai%20Eldership | Šatrininkai Eldership () is an eldership in Lithuania, located in Vilnius District Municipality, east of Vilnius.
Ethnic composition
According to 2021 National Census data, the ethnic composition was as follows:
Poles - 60.2% (1734)
Lithuanians - 22.5% (647)
Russians - 8% (231)
Belarusians - 5.4% (157)
Number of inhabitants: 2881
According to 2011 National Census data, the ethnic composition was as follows:
Poles - 63.8%
Lithuanians - 17.3%
Russians - 9.6%
Belarusians - 6.8%
Number of inhabitants: 3213
References
Elderships in Vilnius District Municipality |
https://en.wikipedia.org/wiki/MEL%26NYC%20festival | MEL&NYC festival was a cultural festival in Melbourne, Australia in 2018.
It was sponsored by the Victorian Government, and involved community programming from various Australian arts organisations.
Noteworthy performers at the festival included Ilana Glazer, Ronan Farrow, and Momofuku.
State tourism Martin Foley was involved in organising the event.
References
Festivals in Melbourne
2018 establishments in Australia
Arts festivals in Australia
Festivals established in 2018
Performing arts in Melbourne |
https://en.wikipedia.org/wiki/Data%20Colada | Data Colada is a blog dedicated to investigative analysis and replication of academic research, focusing in particular on the validity of findings in the social sciences.
It is known for its advocacy against problematic research practices such as p-hacking, and for publishing evidence of data manipulation and research misconduct in several prominent cases, including celebrity professors Dan Ariely and Francesca Gino. Data Colada was established in 2013 by three behavioral science researchers: Uri Simonsohn, a professor at ESADE Business School, Barcelona/Spain (as of 2023), Leif Nelson, a professor at University of California, Berkeley, and Joe Simmons, a professor at University of Pennsylvania.
History
Around 2011, Simmons, Nelson and Simonsohn "bonded over the false, ridiculous, and flashy findings that the field [of behavioral sciences] was capable of producing", such as a paper by Cornell psychologist Daryl Bem that had supposedly found evidence for clairvoyance. They reacted by publishing an influential 2011 paper about false positive results in psychology, illustrating the problem with a parody research finding that supposedly showed that listening to the Beatles song "When I’m Sixty-Four" made experiments subjects one and a half years younger.
The "Data Colada" blog was launched two years later, in 2013, carrying the tagline "Thinking about evidence, and vice versa", and "became a hub for nerdy discussions of statistical methods — and, before long, various research crimes and misdemeanors" (New York Times).
In particular, the three researchers objected to what the then widespread practice of cherry-picking data and attempts to make insignificant results appear statistically credible, especially an approach for which they coined the term p-hacking in a 2014 paper.
Notable findings
Apart from calling out faulty but presumably well-intended research practices, Data Colada has also published evidence of data manipulations and research misconduct, such as in the studies about the concept of moral high ground by psychologist Lawrence Sanna, and in research by Flemish psychologist Dirk Smeesters. Following the findings of Data Colada, "[t]he two men’s careers came to an unceremonious end" (according to The New Yorker).
An August 2021 post by Data Colada found that data from a field study in a 2012 PNAS paper by Lisa L. Shu, Nina Mazar, Francesca Gino, Dan Ariely, and Max H. Bazerman had been fabricated. All of the 2012 study's authors agreed with this assessment and the paper was retracted. The study's authors also agreed that Dan Ariely was the only author to have had access to the data prior to transmitting it in its fraudulent form to Nina Mazar, the analyst. Dan Ariely denied manipulating the data prior to forwarding it on to Mazar but Excel metadata showed that he created the spreadsheet and was the last to edit it. He also admitted to having mislabeled all of the values in an entire column of the data in e-mail communication with Maz |
https://en.wikipedia.org/wiki/W30 | W30 may refer to:
W30 (nuclear warhead)
Mercedes-Benz 150H, a rear-engined car
Nhuwala language
PENTAX Optio W30, a digital camera
Roland W-30, a music workstation
Sony Cyber-shot DSC-W30, a digital camera
, an Empire ship
Toyota MR2 (W30), a sports car
Watkins 30, an American sailboat
Westland 30, a British helicopter |
https://en.wikipedia.org/wiki/Fresh%20variable | In formal reasoning, in particular in mathematical logic, computer algebra, and automated theorem proving, a fresh variable is a variable that did not occur in the context considered so far.
The concept is often used without explanation.
Example
For example, in term rewriting, before applying a rule to a given term , each variable in should be replaced by a fresh one to avoid clashes with variables occurring in .
Given the rule
and the term
,
attempting to find a matching substitution of the rule's left-hand side, , within will fail, since cannot match .
However, if the rule is replaced by a fresh copy
before, matching will succeed with the answer substitution .
Notes
References
Rewriting systems
Automated theorem proving
Computer algebra |
https://en.wikipedia.org/wiki/Muscles%20%26%20Mayhem%3A%20An%20Unauthorized%20Story%20of%20American%20Gladiators | Muscles & Mayhem: An Unauthorized Story of American Gladiators is a Netflix series about American Gladiators.
References
American Gladiators
English-language Netflix original programming |
https://en.wikipedia.org/wiki/La%20Bestia%20%28disambiguation%29 | La Bestia commonly refers to a network of Mexican freight trains used by migrants to travel to the United States.
La Bestia (Spanish for "The Beast") may also refer to:
La Bestia del Ring, Mexican professional wrestler
Luis Garavito, Colombian serial killer
Médico Asesino, Mexican professional wrestler who at one point used the ring name La Bestia
La Bestia (Mola novel), a 2021 novel by the pseudonymous Spanish writer Carmen Mola
See also
Bestia (disambiguation)
The Beast (disambiguation)
La Bête (disambiguation) (French for "The Beast") |
https://en.wikipedia.org/wiki/The%20Local%20Network | The Local Network, formerly known as The Local Party of Australia, is an Australian political party. The party was founded in 2021 and is mainly active in the state of Tasmania, but does have a presence in South Australia.
History
The party was founded by former Jacqui Lambie staffer Anna Bateman, Leanne Minshull from The Australia Institute think tank, and fisherman Craig Garland, who ran for the senate as an independent at the 2019 federal election. The party focuses on hyper-local issues, and aims to hold citizens assemblies to develop policies. The party was formally registered with the Australian Electoral Commission on 9 March 2022.
Ahead of the 2022 federal election, the party was endorsed by 3 trade unions, including 2 who are affiliated with the Labor Party.
The party contested the lower house seats of Braddon and Franklin, receiving 1.02% and 4.96% of the vote respectively. In the senate, they had 1.44% of the vote in Tasmania. In SA, veterans advocate Julie-Ann Finney led the ticket, which received 0.21% of the vote.
Climate 200, which supported the campaigns of a number of teal independents, also supported the party's senate campaign.
In May 2023, the party was renamed to The Local Network and applied to the Australian Electoral Commission and Tasmanian Electoral Commission to have the name formally changed.
The party has been criticised by psephologist Kevin Bonham for describing its candidates as independents.
References
2021 establishments in Australia
Localism (politics)
Political parties established in 2021
Political parties in Australia
Political parties in Tasmania |
https://en.wikipedia.org/wiki/Babbage%20Building | The Babbage Building is a teaching building at the University of Plymouth.
Background
The Babbage Building is the main building for the university's School of Engineering, Computing and Mathematics and the School of Art, Design and Architecture.
It is named after Charles Babbage, a mathematician, philosopher, inventor and mechanical engineer who originated the concept of a digital programmable computer.
After renovations in 2021–2023, the building contains a number of fabrication and computing laboratories.
History
The building was originally constructed in the 1979 as an engineering block for the university.
2021 - 2023 Renovation
In 2019, a design competition was held for a renovation of the Babbage Building.
Permission was granted for the renovations in December 2020, and works began in 2021. The main contractor for the renovations is BAM, and the new building was designed by Feilden Clegg Bradley Studios.
In 2021, as part of the university's campus masterplan, the Babbage Building was closed for £30 million worth of renovation works. For the renovations to be able to take place, the university had to temporarily relocate classes and infrastructure to other places across the campus. The university's data center was mostly moved to the cloud as a result of the works.
The building was completely emptied, internal walls taken down, and the outer walls taken off, with only the concrete structure remaining. The renovated building has larger windows, blue cladding, and a rooftop garden. Babbage is also set to be expanded towards the rear and right side of the building.
As part of the works, the nearby Brunel building will be demolished and turned into a park when all of its functions have been moved into the babbage building.
The newly renovated building will contain 108,000 sq ft (10,000 sq m) of teaching and learning space, and will be focused on using low carbon technologies to reduce the university's carbon footprint.
The building is due to reopen in September 2023.
References
Buildings and structures in Plymouth, Devon
Buildings at the University of Plymouth |
https://en.wikipedia.org/wiki/Wei%20Ding | Wei Ding is a computer scientist whose research involves data mining, machine learning, feature selection, and their applications in scientific computing and forensics. Educated in China and the US, she works in the US as professor of computer science at the University of Massachusetts Boston.
Education and career
Ding graduated in 1993 from Xi'an Jiaotong University with a bachelor's degree in computer science and applications. She worked in industry in China for five years before coming to the US as a master's student in software engineering at George Mason University. Completing her master's degree in 2000, she worked as a software engineer for Verisign in Virginia before becoming a lecturer in 2002 at the University of Houston–Clear Lake (UHCL), at the same time becoming a doctoral student at the University of Houston (a separate university from UHCL). She completed her Ph.D. in 2008.
She became an assistant professor at the University of Massachusetts Boston in 2008, and was promoted to associate and full professor in 2014 and 2019 respectively. Since 2019 she has been on leave from UMass Boston as a program director at the National Science Foundation, in the Information and Intelligent Systems division.
Recognition
Ding was elected as an IEEE Fellow, in the 2023 class of fellows, "for contributions to data mining and big data research in scientific domains".
References
External links
University home page
Personal home page
Year of birth missing (living people)
Living people
American computer scientists
American women computer scientists
Chinese computer scientists
Chinese women computer scientists
Xi'an Jiaotong University alumni
George Mason University alumni
University of Houston–Clear Lake faculty
University of Houston alumni
University of Massachusetts Boston faculty
United States National Science Foundation officials
Fellow Members of the IEEE |
https://en.wikipedia.org/wiki/Simon%20Western | Simon Western is a British academic and author who founded the Eco-Leadership Institute and is CEO and founder of Analytic-Network Coaching Ltd.. He has written on the topics of leadership, coaching, and organizational change.
Western developed an ethical and networked approach to leadership, known as Eco-Leadership. According to Wallach, he identifies the four discourses that have dominated leadership thinking in the last century and presents these in his book, which is now the 3rd edition of Leadership: a critical text.
Early life and education
Simon Western was born in Bristol, England. Leaving school, Western first worked in a factory, before moving into general nursing then psychiatric nursing, and later trained as a family therapist. Western has two Masters degrees; Psychotherapy and Counselling from Keele University, and Consulting to Organisations: Psychoanalytic Approaches from the Tavistock Clinic, London. Western completed his PhD in Leadership at the Lancaster University Management School.
Career
Western was Director of Coaching at the Lancaster School of Management from 2005 to 2007. He was then Director of the Tavistock Clinic’s Masters in Organisational Consultancy from 2008 - 2010. He was president of the International Society for the Psychoanalytical Study of Organizations (ISPSO) from 2017 to 2020. He was an adjunct professor, University College Dublin, Honorary Teaching Fellow at Lancaster University Management School and Senior Fellow at Birmingham University, Health Service Management Centre.\
Western is best known for the Eco-Leadership approach and the Analytic-Network Coaching System. His Analytic-Network Coaching system is designed to coach leaders to 'act in good faith to create the good society'. It draws on psychoanalysis, critical theory, social movement theory, environmentalism and network theory to train coaches in order for them to support the development of ethically driven leaders.
Publications
Books
Leadership: A Critical Text (3rd Ed.), Sage London, 2019, Western, S.
Global Leadership Perspectives: Insights and Analysis, 2018, Sage London, Western, S. & Garcia, E.J.
Coaching & Mentoring: A Critical Text, 2012, Sage London, , p;336, Western, S.
Book Chapters
Covid: an intrusion of the Real. In Brunning, H & Khaleelee, O (Eds.) The Covid Trail-Psychoanalytic Explorations, 2023, Phoenix Publishing House
From Paternalism to Mutualism. Eco-Leadership: the cultural transformation of healthcare. In Chambers, N. (Ed) Research Handbook on Leadership in Healthcare, Chapter 41, 2023, Cheltenham UK: Edward Elgar
The Eco-Leadership Paradox, in Redekop, B., Gallagher, D.R., & Satterwhite, R. (Eds.), Innovation in Environmental Leadership: Critical perspectives., 2018, Publishing: New York and London: Routledge
Eco-Leadership: Towards the Development of a New Paradigm, in Redekop, B. et al (Eds), Leadership for Environmental Sustainability, 2010, New York & Milton Park: Routledge
Democratising Strategy, in Campbell, |
https://en.wikipedia.org/wiki/GDDR7%20SDRAM | Graphics Double Data Rate 7 Synchronous Dynamic Random-Access Memory (GDDR7 SDRAM) is a type of synchronous graphics random-access memory (SGRAM) specified by the JEDEC Semiconductor Memory Standard, with a high bandwidth, "double data rate" interface, designed for use in graphics cards, game consoles, and high-performance computing. It is a type of GDDR SDRAM (graphics DDR SDRAM), and is the successor to GDDR6.
History
At Samsung Tech Day 2022, Samsung announced GDDR7 as the successor of GDDR6X, which could deliver up to 36 GT/s. Samsung later announced two months later that it would use PAM-3 signaling to achieve the highest transfer rate.
On March 8, 2023, Cadence announced the verification solution tool for preliminary GDDR7 SDRAM production.
On June 30, 2023, Micron announced that it will be manufactured using 1ß node (equivalent to 12–10 nm process node), slated to release in H1 2024.
On July 18, 2023, Samsung announced the first generation of GDDR7, which can reach up to 32 Gbps per pin (33% higher bandwidth per pin compared to 24 Gbps per pin on GDDR6), 40% higher bandwidth (1.5 TB/s) compared to GDDR6 (1.1 TB/s) and 20% more energy efficient. For packaging material, it will use epoxy molding compound (EMC) alongside with IC architecture optimization, which will reduce thermal resistance by 70%. Later, on a Q&A session, Samsung mentioned that it will be manufactured using D1z node (equivalent to 15–14 nm) and will operate on 1.2V. A 1.1V version with reduced clockspeeds will also be made available at some point in to the future after the release of the 1.2V version.
Technologies
GDDR7 SDRAM introduced PAM-3 signaling (Pulse Amplitude Module-3 level) instead of NRZ. PAM-3 is 20% more energy-efficient than NRZ with a higher bandwidth but has lower equipment requirements than PAM-4, making it cheaper. PAM-3 is using 1.5 bits per cycle, while NRZ uses only 1 bit per cycle. GDDR7 SDRAM also will be manufactured using 1ß node (equivalent to 12–10 nm process node), which will be the last DRAM production process that will rely on deep ultraviolet (DUV) lithography tools.
See also
List of interface bit rates
References
External links
SDRAM |
https://en.wikipedia.org/wiki/List%20of%20countries%20by%20meat%20production | The following article lists the world's largest producers of meat. Global meat production has increased rapidly over the past 50 years. According to Our World in Data, meat production has more than quadrupled since 1961, reaching around 357 million tonnes in 2021. The most popular meat globally is poultry, followed by pork, beef and mutton. Over 90 billion animals are slaughtered each year for meat.
List
Countries and some territories by meat production.
World production
References
Lists of countries by production
Meat
Meat
Meat industry |
https://en.wikipedia.org/wiki/Black%20Rider%20%28TV%20series%29 | Black Rider is an upcoming Philippine television drama action series to be broadcast by GMA Network. Directed by Rommel Penesa and Richard Arellano, it stars Ruru Madrid in the title role. It is set to premiere on November 6, 2023 on the network's Telebabad lineup, replacing Maging Sino Ka Man in its timeslot.
Cast and characters
Lead cast
Ruru Madrid as Elias Guerrero / Black Rider
Supporting cast
Yassi Pressman as Vanessa "Bane"
Matteo Guidicelli as Paeng Policarpio
Katrina Halili as Romana Nadela
Jon Lucas as Calvin Magallanes
Zoren Legaspi as Alfonso Buenaventura
Gladys Reyes as Sasha Buenaventura
Raymart Santiago as Gregorio Ricarte
Gary Estrada as Fredo Policarpio
Monsour del Rosario
Roi Vinzon as William Romero
Kier Legaspi
Raymond Bagatsing as Edgardo Magallanes
Joem Bascon
Isko Moreno as Tiagong Dulas
Arra San Agustin
Almira Muhlach as Rebecca Chen
Maureen Larrazabal as Babylyn
Rio Locsin as Alma Guerrero
Jayson Gainza as Estong
Janus del Prado as Miguelito
Empoy Marquez as Oka
Rainier Castillo as Kim Arthur
Prince Clemente as Onat
Luis Hontiveros as Philip
Vance Larena as Uno
Kim Perez as Mattias
Aleck Bovick as Lorna
Bodjie Pascua as Lolo Sito
Marco Masa as Benjie
Ashley Sarmiento as Neneng
Tito Vince as Benok
Whamos Cruz as Tuklaw
Salome Salvi as Anabel
Turing as Cherry Pie
Pipay as Apol Piee
Shanti Dope
Joaquin Domagoso
Analyn Barro
Simon Ibarra
Mariel Pamintuan
Ashley Rivera as Paloma
Guest cast
Kylie Padilla as Bernice
Joshua Dionisio
Carla Abellana as Becky
Production
Principal photography commenced on July 4, 2023.
References
External links
Filipino-language television shows
GMA Network drama series
GMA Integrated News and Public Affairs shows
Philippine action television series
Television shows set in the Philippines
Upcoming drama television series |
https://en.wikipedia.org/wiki/Artificial%20intelligence%20and%20moral%20enhancement | Artificial intelligence and moral enhancement involves the application of artificial intelligence to the enhancement of moral reasoning and the acceleration of moral progress.
Artificial moral reasoning
With respect to moral reasoning, some consider humans to be suboptimal information processors, moral judges, and moral agents. Due to stress or time constraints, people often fail to consider all the relevant factors and information necessary to make well-reasoned moral judgments, people lack consistency, and they are prone to biases.
With the rise of artificial intelligence, artificial moral agents can perform and enhance moral reasoning, overcoming human limitations.
Ideal observer theory
The classical ideal observer theory is a metaethical theory about the meaning of moral statements. It holds that a moral statement is any statement to which an "ideal observer" would react or respond in a certain way. An ideal observer is defined as being: (1) omniscient with respect to non-ethical facts, (2) omnipercipient, (3) disinterested, (4) dispassionate, (5) consistent, and (6) normal in all other respects.
Adam Smith and David Hume espoused versions of the ideal observer theory and Roderick Firth provided a more sophisticated and modern version. An analogous idea in law is the reasonable person criterion.
Today, artificial intelligence systems are capable of providing or assisting in moral decisions, stating what we ought to morally do if we want to comply with certain moral principles. Artificial intelligence systems can gather information from environments, process it utilizing operational criteria, e.g., moral criteria such as values, goals, and principles, and advise users on morally best courses of action. These systems can enable humans to make (nearly) optimal moral choices that we do not or cannot usually perform because of lack of necessary mental resources or time constraints.
Artificial moral advisors can be compared and contrasted with ideal observers. Ideal observers have to be omniscient and omnipercipient about non-ethical facts, while artificial moral advisors would just need to know those morally relevant facts which pertain to a decision.
Users can provide varying configurations and settings to instruct these systems, and this allows these systems to be relativist. Relativist artificial moral advisors would equip humans to be better moral judges and would respect their autonomy as both moral judges and moral agents. For these reasons, and because artificial moral advisors would be disinterested, dispassionate, consistent, relational, dispositional, empirical, and objectivist, relativist artificial moral advisors could be preferable to absolutist ideal observers.
Exhaustive versus auxiliary enhancement
Exhaustive enhancement involves scenarios where human moral decision-making is supplanted, left entirely to machines. Some proponents consider machines as being morally superior to humans and that just doing as the machines say |
https://en.wikipedia.org/wiki/Loxo%2C%20Touro | Santa María de Loxo is a Galician parish located in the north of the municipality of Touro, in the Galician province of A Coruña, Spain. In 2022, by IGE's data, it had 368 inhabitants (192 women and176 men) distributed throught 18 population entities, which poses an overall population decline from the year 1999, when it had 526 inhabitants.
Geography
Within its orography the hill of Coto which stands out at 392 m. Loxo has a river, the Pucheiras river, which is a tributary of the Ulla. In Loxo's territory an part of and old open pit mine can be found. It was dedicated to the extraction of Copper, and it is currently owned by a construction company.
The AC-240 runs through Loxo, as well as the municipality of Touro. There are daily buses services between Loxo and Santiago de Compostela.
Economy
Loxo has transitioned from being mostly centered around faming and agriculture to a residential locality, relying economically on the secondary and tertiary sectors of Santiago de Compostela for a great share of the local income.
Religious architecture
Santa María de Loxo parish's Church. Building with a rectangular plant, with a semicircular arched door with moldings and a window in the tribune, with a semicircular arch as well. The belfry is a tower adjacent to the facade. The molded belfry stands out, with highly arched openings and an octagonal tall and arched tempietto, with eight openings and a cupola. This church was previouly owned by the convent of the Dominicos de Santiago.
San Sebastian's Chapel. Rectangular plant Chapel with plastered walls painted white and a gabled roof with Mangalore tiles. In the facade, a straight butted door and a square window in the center. The belfry has two openings to house the bells and is decorated with pyramidal pinnacles finished in a ball. At the top it carries a forged cross. The chapel with this name was previously located at the top of the hill of the Coto de San Sebastián, inside the fortified enclosure of a castro that bears the same name.
References
Populated places in Galicia (Spain)
Province of A Coruña |
https://en.wikipedia.org/wiki/Oric%20%28disambiguation%29 | Oric is a model of computer made in the UK in the 1980s.
Oric may also refer to:
Oric Products International, the parent company that made the Oric computer
oriC, the origin of chromosomal replication in bacteria
ORIC, the Office of the Registrar of Indigenous Corporations, an Australian Government office
Oric Bates (1883–1918), American archaeologist and author
Orič, a village in Croatia
Naser Orić (born 1967), Bosnian military officer
See also
Orick |
https://en.wikipedia.org/wiki/Diuris%20inundata | Diuris inundata is a species of orchid that is endemic to south-eastern continental Australia. It usually has between three and six grass-like leaves and a flowering stem with one or two pale yellow to buttercup yellow flowers with a few rusty-red specks.
Description
Diuris inundata is a tuberous, terrestrial herb usually with a loose tuft of pale green, linear leaves long and wide. One or two pale yellow to buttercup yellow flowers wide are borne on a flowering stem tall. The dorsal sepal is egg-shaped, long, wide, the lateral sepals linear, paper-thin, long, wide and diverge from each other. The petals spread horizontally apart and are narrowly egg-shaped to narrowly elliptic, long and wide. The labellum has three lobes, the middle lobe triangular, long and about wide and the side lobes triangular, about long and wide and fringed with red. There are two diverging, densely pimply calli ridges. Flowering occurs as the habitat dries after winter, from early September to late November.
Taxonomy and naming
Diuris inundata was first formally described in 2017 by David Jones and Robert Bates in Australian Orchid Review from specimens collected near Penola in 2005. The specific epithet (inundata) means "inundated", referring to the winter-wet places preferred by this species.
Distribution and habitat
This species of orchid usually grows among sedges and shrubs in winter-wet river red gum forest, in south-eastern South Australia and nearby areas of Victoria.
References
inundata
Orchids of South Australia
Endemic orchids of Australia
Plants described in 2017
Taxa named by Robert John Bates
Taxa named by David L. Jones (botanist) |
https://en.wikipedia.org/wiki/Institute%20for%20Legislative%20Analysis | The Institute for Legislative Analysis (ILA) is an American political research organization, which "serves as a data and policy hub for right-of-center organizations" and analyzes legislation introduced in the US Congress and the 50 state legislatures. The ILA publishes the most comprehensive congressional scorecard which provides "much greater ability to pinpoint exactly where lawmakers stand across the full spectrum of issues" through the collection of roughly 40,000 votes cast by members of congress each year. The ILA constructs scorecards for other national conservative and libertarian organizations through its Limited Government Index which is a platform containing bill analyses and lawmaker vote data to "help the groups more effectively lobby lawmakers and deploy their activists".
History
"The ILA was launched by former employees of the American Conservative Union or CPAC." Ryan McGowan, Fred McGrath and Francis Finnegan are the original architects of the nation's first 50 state comprehensive scorecard which they spent nearly a decade constructing while at the ACU. The ILA was created to equip other national liberty-minded groups with scorecards "and craft even more robust tools to sharpen the teeth of political-watchdog organizations."
Limited Government Index
"Unlike the vast majority of scorecards that are based on a particular political party or philosophy (which tend to evolve overtime), the LGI provides a non-partisan measurement that is based on the limited government principles of the U.S. Constitution." The ILA grades all elected officials on a 100-point scale, with a 0% score representing a big government voting record and a 100% score a limited government voting record.
Scorecard usage
ILA's ratings are frequently cited by lawmakers and campaigns to highlight vote records to constituents and voters. Each year the ILA holds a congressional award event which is attended by 50 members of congress who receive recognition for earning the highest ratings on the Limited Government Index.
References
Conservative organizations in the United States
501(c)(3) organizations
Conservatism in the United States
Libertarianism in the United States
Research institutes in the United States |
https://en.wikipedia.org/wiki/Karon%20MacLean | Karon E. MacLean is a computer scientist and mechanical engineer whose research involves haptic technology and affective haptics in human–computer interaction and human–robot interaction. Educated in the US, she works in Canada as a professor of computer science and Canada Research Chair in Interactive Human Systems Design at the University of British Columbia.
Education and career
MacLean was an undergraduate at Stanford University, where she graduated in 1986 with a double major in biological sciences and mechanical engineering. She earned a master's degree in mechanical engineering at to the Massachusetts Institute of Technology (MIT) in 1988. After two years working as an engineer at the University of Utah, she returned to MIT for a Ph.D. in mechanical engineering, completed in 1996.
She was a researcher for Interval Research Corporation from 1996 to 2000. In 2000, she became an assistant professor at the University of British Columbia (UBC); she has been a full professor there since 2010. At UBC, she is the co-founder and director of the Designing for People (DFP) Research Cluster, director of the Sensory Perception and Interaction Research Group, and associate director of the Institute for Computing, Information and Cognitive Systems.
Recognition
MacLean was given a tier 1 Canada Research Chair in Interactive Human Systems Design by the Natural Sciences and Engineering Research Council in 2021. She was elected as an IEEE Fellow, in the 2023 class of fellows, "for contributions to the design of haptic communication", and is a Distinguished Lecturer of the IEEE Technical Committee for Haptics.
References
External links
Home page
Year of birth missing (living people)
Living people
American computer scientists
American women computer scientists
American mechanical engineers
American women engineers
Canadian computer scientists
Canadian women computer scientists
Canadian mechanical engineers
Canadian women engineers
Stanford University alumni
Massachusetts Institute of Technology alumni
Academic staff of the University of British Columbia
Fellow Members of the IEEE |
https://en.wikipedia.org/wiki/Wild%20Scandinavia | Wild Scandinavia is a three-part natural history television series, first broadcast on the US network PBS. The series is narrated by Swedish actress Rebecca Ferguson.
The series was made by the BBC Studios Natural History Unit, and co-produced by PBS.
Plot
Covering diverse Nordic landscapes—southern Denmark's sandy plains, Iceland's volcanoes, Sweden's forests, and prominently Norway's fjords—the series also features extreme human activities such as fjord cliff BASE jumping. The first episode, "Life on the Edge," showcases wildlife interactions and landscapes, merging subjects and ecological narratives.
References
2023 British television series debuts
2020s British documentary television series
PBS original programming
English-language television shows
Television series by BBC Studios |
https://en.wikipedia.org/wiki/Domain-specific%20architecture | A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs, that are designed to operate on any computer program.
History
In conjunction with the semiconductor boom that started in the 1960s, computer architects were tasked with finding new ways to exploit the increasingly large number of transistors available. Moore's Law and Dennard Scaling enabled architects to focus on improving the performance of general-purpose microprocessors on general-purpose programs.
These efforts yielded several technological innovations, such as multi-level caches, out-of-order execution, deep instruction pipelines, multithreading, and multiprocessing. The impact of these innovations was measured on generalist benchmarks such as SPEC, and architects were not concerned with the internal structure or specific characteristics of these programs.
The end of Dennard Scaling pushed computer architects to switch from a single, very fast processor to several processor cores. Performance improvement could no longer be achieved by simply increasing the operating frequency of a single core.
The end of Moore's Law shifted the focus away from general-purpose architectures towards more specialized hardware. Although general-purpose CPU will likely have a place in any computer system, heterogeneous systems composed of general-purpose and domain-specific components are the most recent trend for achieving high performance.
While hardware accelerators and ASIC have been used in very specialized application domains since the inception of the semiconductor industry, they generally implement a specific function with very limited flexibility. In contrast, the shift towards domain-specific architectures wants to achieve a better balance of flexibility and specialization.
A notable early example of a domain-specific programmable architecture are GPUs. These specialized hardware were developed specifically to operate within the domain of image processing and computer graphics. These programmable processing units found widespread adoption both in gaming consoles and personal computers. With the improvement of the hardware/software stack for both NVIDIA and AMD GPUs, these architectures are being used more and more for the acceleration of massively and embarrassingly parallel tasks, even outside of the domain of image processing.
Since the renaissance of machine-learning-based artificial intelligence in the 2010s, several domain-specific architectures have been developed to accelerate inference for different forms of artificial neural networks. Some examples are Google's TPU, NVIDIA's NVDLA and ARM's MLP.
Guidelines for DSA design
John Hennessy and David Patterson outlined five principles for DSA design that lead to better area efficiency and energy savings. The objective in these t |
https://en.wikipedia.org/wiki/Horizon%20chart | A horizon chart or horizon graph is a 2-dimensional data visualisation displaying a quantitative data over a continuous interval, most commonly a time period. The horizon chart is valuable for enabling readers to identify trends and extreme values within large datasets. Similar to sparklines and ridgeline plot, horizon chart may not be the most suitable visualisation for precisely pinpointing specific values. Instead, its strength lies in providing an overview and highlighting patterns and outliers in the data.
History
The technique of constructing the horizon chart from an area chart was first developed by Takafumi Saito et al. at the Tokyo University of Agriculture and Technology in 2005. This technique was referred to as two-tone pseudo colouring. Subsequently, Panopticon Software independently commercialised the procedure and referred to the resulting visualisations as horizon charts.
Overview
The horizon chart is a variation of the area chart. Having established a horizontal axis, negative values are mirrored over the horizontal axis, while positive values retain their position. As an alternative approach, rather than reflecting negative values, they can be shifted so that the smaller value aligns with the horizontal axis. Layers are formed by dividing the areas into equal horizontal intervals and overlaying the resulting bands.
Colour is an essential visual element in horizon charts. It serves to differentiate positive values from negative values, and its intensity corresponds to the magnitude of the values. Typically, the colour of each area in the horizon chart is obtained by overlaying multiple transparent bands, with more intense colours indicating larger values and less intense colours representing smaller values.
Horizon charts facilitate a reduction in vertical space, resulting in a more compact chart that resembles a heat map. This enables the consolidation of a substantial volume of data into a single visualisation. The compact nature of the horizon chart enables easy comparison of different data series within a single visualisation. It also lends itself well to the creation of small multiples, where multiple horizon charts can be displayed side by side to analyse and compare various datasets simultaneously. This compact design enhances the efficiency and effectiveness of data analysis and interpretation.
Chart construction
When creating a horizon chart, the selection of the origin for the vertical axis, which determines the placement of the horizontal axis, is crucial. In most cases, the origin is set to zero. However, this characteristic of the horizon chart can be leveraged to emphasise trends based on an arbitrary value. By selecting a different origin point, such as a specific threshold or benchmark, trends and comparisons can be highlighted in relation to that value. This flexibility allows for the visualisation to be tailored to specific analytical needs or to draw attention to particular trends or deviations fr |
https://en.wikipedia.org/wiki/Quantum%20walk%20search | In the context of quantum computing, the quantum walk search is a quantum algorithm for finding a marked node in a graph.
The concept of a quantum walk is inspired by classical random walks, in which a walker moves randomly through a graph or lattice. In a classical random walk, the position of the walker can be described using a probability distribution over the different nodes of the graph. In a quantum walk, on the other hand, the walker is represented by a quantum state, which can be in a superposition of several locations simultaneously.
Search algorithms based on quantum walks have the potential to find applications in various fields, including optimization, machine learning, cryptography, and network analysis. The efficiency and probability of success of a quantum walk search depend heavily on the structure of the search space. In general, quantum walk search algorithms offer an asymptotic quadratic speedup similar to that of Grover's algorithm.
One of the first works on the application of quantum walk to search problems was proposed by Neil Shenvi, Julia Kempe, and K. Birgitta Whaley.
Classical problem description
Given a search space and a subset which contains the marked elements, a probabilistic search algorithm samples an element uniformly at random at each step, until it finds a marked element from . If we define as the fraction of marked elements, a procedure of that kind must be repeated times to find a marked element.
If we have information about the structure of we can model it as a graph , where every vertex represents a sample from the search space with , while the edges represent the conditional probability to sample the next element starting from the current sample.
We perform a search by starting from a random vertex and, if it does not belong to , we sample the next vertex among the ones connected to . This procedure is known as random walk search. To have a probability close to to find the marked node, we need to take asymptotically steps on the graph, where the parameter is the spectral gap associated to the stochastic matrix of the graph.
To assess the computational cost of a random walk algorithm, one usually divides the procedure into three sub-phases such as Setup, Check, and Update, and analyses their cost.
Setup
The setup cost refers to the initialization of the stationary distribution over the vertices of the graph.
Update
The update cost is the cost to simulate a transition on the graph according to the transition probability defined in .
Check
The check cost is the cost to verify if the current element belongs to the set .
The total cost of a random walk search algorithm is . The greedy version of the algorithm, where the check is performed after every step on the graph has a complexity of . The presence of the spectral gap term in the cost formulation can be thought of as the minimum number of steps that the walker must perform to reach the stationary distribution. This quantity i |
https://en.wikipedia.org/wiki/Medical%20open%20network%20for%20AI | Medical open network for AI (MONAI) is an open-source, community-supported framework for Deep learning (DL) in healthcare imaging. MONAI provides a collection of domain-optimized implementations of various DL algorithms and utilities specifically designed for medical imaging tasks. MONAI is used in research and industry, aiding the development of various medical imaging applications, including image segmentation, image classification, image registration, and image generation.
MONAI was first introduced in 2019 by a collaborative effort of engineers from NVIDIA, the National Institutes of Health, and the King's College London academic community. The framework was developed to address the specific challenges and requirements of DL applied to medical imaging.
Built on top of PyTorch, a popular DL library, MONAI offers a high-level interface for performing everyday medical imaging tasks, including image preprocessing, augmentation, DL model training, evaluation, and inference for diverse medical imaging applications. MONAI simplifies the development of DL models for medical image analysis by providing a range of pre-built components and modules.
Medical image analysis foundations
Medical imaging is a range of imaging techniques and technologies that enables clinicians to visualize the internal structures of the human body. It aids in diagnosing, treating, and monitoring various medical conditions, thus allowing healthcare professionals to obtain detailed and non-invasive images of organs, tissues, and physiological processes.
Medical imaging has evolved, driven by technological advancements and scientific understanding. Today, it encompasses modalities such as X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), ultrasound, nuclear medicine, and digital pathology, each offering capabilities and insights into human anatomy and pathology.
The images produced by these medical imaging modalities are interpreted by radiologists, trained specialists in analyzing and diagnosing medical conditions based on the visual information captured in the images. In recent years, the field has witnessed advancements in computer-aided diagnosis, integrating Artificial intelligence and Deep learning techniques to automatize medical image analysis and assist radiologists in detecting abnormalities and improving diagnostic accuracy.
Features
MONAI provides a robust suite of libraries, tools, and Software Development Kits (SDKs) that encompass the entire process of building medical imaging applications. It offers a comprehensive range of resources to support every stage of developing Artificial intelligence (AI) solutions in the field of medical imaging, from initial annotation (MONAI Label), through models development and evaluation (MONAI Core), and final application deployment (MONAI deploy application SDK).
Medical data labeling
MONAI Label is a versatile tool that enhances the image labeling and learning process by incorporating AI assistance. |
https://en.wikipedia.org/wiki/Neurotechnology%20%28company%29 | Neurotechnology (previously known as Neurotechnologija) is an algorithm and software development company founded in Vilnius, Lithuania in 1990.
Neurotechnology provides algorithms and neural network services to government agencies and commercial clients, Presently, the company focuses upon multi-biometric smart card fingerprint, face, iris, voice, and palm print identification.
History
Neurotechnology was formed in 1990 in Vilnius, Lithuania, with the primary goal of exploiting neural networks for applications such as computer vision, biometric person identification, and artificial intelligence. In 1991, the company released its first fingerprint identification technology for criminal inquiry in 1991. The following research by the company resulted in the first fingerprint identification algorithm for civil usage, which was made public in 1997. Since then, the company has created over 200 products, earning recognition from worldwide organisations such as the US National Institute of Standards and Technology.
In 2009, the Polish Security Printing Works used the Neurotechnology VeriFinger fingerprint recognition technology to issue the E-Passports that were required by all countries in the Schengen Agreement under EU Law.
In 2017, the company unveiled an ultrasonic particle manipulation 3D printing method that could be used to 3D print entire electronic objects, such as a smartphone.
The DRC's Independent National Electoral Commission deployed the Neurotechnology MegaMatcher ABIS during the 2018 Democratic Republic of Congo general election, uncovering 5.3 million duplicate voter records. Corneille Nangaa Yobeluo, President of the National Independent Electoral Commission (CENI) stated: "Neurotechnology helped us achieve our goals and exceeded our expectations by starting and completing the deduplication process in record time, and they were able to identify millions of duplicates".
Since 2019, Neurotechnology has held first place in the US National Institute of Standards and Technology (NIST) Proprietary Fingerprint Template (PFT) evaluations, up against 39 algorithms submitted from 22 vendors.
MegaMatcher ABIS was used alongside fingerprint and/or facial recognition during the 2020 Ghanaian General Election. It was used to de-duplicate the database of 17,027,641 eligible voters, identifying 15,860 attempted multiple registrations.
In March 2021, The Neurotechnology product MegaMatcher was used in the Indian Aadhaar ID scheme, described as "the most sophisticated ID programme in the world" by the World Bank Chief Economist Paul Romer. Neurotechnology, alongside consortium partner Tata Consultancy Services, were selected to provide a deduplication system for the Aadhaar scheme using fingerprint, face and iris biometric recognition.
Criticisms
In 2014, the Neurotechnology's product VeriFinger was used by hacker Jan Krissler to recreate the German defense minister Ursula von der Leyen's fingerprint, using only a few high-definition images t |
https://en.wikipedia.org/wiki/X-It | X-It (also known as Zonked) is a 1994 puzzle video game developed by Data Design Interactive (DDI) and published by Psygnosis for the Amiga and MS-DOS. The Amiga version was also distributed in Australia by Hot Point. The game stars a character named Bill, who was kidnapped by aliens and placed him on a space junkyard maze to learn about the humans, before launching an invasion against people on Earth. The player controls Bill across 120 levels, each one divided into eight ships that feature their own variety of obstacles. The goal on every level is to get each block into hole fillers to make a path around the exit, without getting blocks stuck against walls or other obstacles under a time limit.
DDI had previously worked for publisher Millennium Interactive on Pinkie prior to X-It. It was designed and programmed by a team within DDI called Flatline; Richard Hackett and Stephen Bond came up with the game's concept and acted as co-designers. The soundtrack was composed by Darren Wood. The game garnered average reception from critics. In 2006, a fan remake for Microsoft Windows titled X-It Again was released as freeware by Finnish group Puzzlehouse.
Gameplay
X-It is a puzzle game that is played from a top-down perspective similar to Sokoban and Anarchy (1987). The premise revolves around a character named Bill, who was kidnapped by aliens and took him aboard their ship. The aliens placed Bill on a space junkyard maze to learn about the humans, before launching an invasion against people on Earth. The player controls Bill across 120 levels, each one divided into eight ships that feature their own variety of obstacles. The goal on every level is to get each block into hole fillers to make a path around the exit, without getting blocks stuck against walls or other obstacles under a time limit. Each block has their own weight and characteristics.
There are multiple types of obstacles such as fixed pilars, immovable blocks, and ice that prevents blocks from stopping until they go past it. There are items scattered on the playfield to help the player with moving blocks, like tractor beams and teleporters. When a level is successfully completed, a password is shown onscreen. The player can replay a stage by entering the password at the corresponding screen. Later levels increases their number of obstacles and overall complexity. Between leves, the player participates in a bonus stage. The player starts with three lives, but falling through holes or the timer runs out results in a life lost. The player can skip a level, but will also result in a life lost. The player has five continues to keep playing, but the game is over if all of them are used.
Development and release
X-It was created by Data Design Interactive (DDI), a British game developer which had previously worked for publisher Millennium Interactive on Pinkie. The game was produced by Greg Duddle. It was designed and programmed by a team within DDI called Flatline; Richard Hackett and S |
https://en.wikipedia.org/wiki/Threads%20%28social%20network%29 | Threads is an online social media and social networking service operated by Meta Platforms. The app offers users the ability to post and share text, images, and videos, as well as interact with other users' posts through replies, reposts, and likes. Closely linked to Meta platform Instagram and additionally requiring users to both have an Instagram account and use Threads under the same Instagram handle, the functionality of Threads is similar to X. The application is available on iOS and Android devices, while a web version offers limited functionality. It is the fastest-growing consumer software application in history, gaining over 100 million users in its first five days, surpassing the record previously set by ChatGPT. Its early success was not sustained and the user base of the app plummeted more than 80% to 8 million daily active users by the end of July, although its popularity has since begun to recover.
After Elon Musk's acquisition of Twitter in October 2022, Meta employees explored the concept of introducing text-based functionality to Instagram. This feature, known as Instagram Notes, was rolled out in December 2022. The company subsequently began developing a separate app focused on text-based posts. Development on Threadsinternally known as "Project 92"commenced in January 2023, with the platform officially launching on July 5, 2023. Threads immediately became available in 100 countries (out of 193 UN member states), but has delayed its launch in the European Union as it waits for regulatory clarity from the European Commission regarding the service's data collection policies.
History
Predecessor
In October 2019, Threads was introduced as a separate app available for Android and iOS. This app's functionality resembled that of Snapchat, allowing users to communicate through messaging and video chats. It was integrated with Instagram's "Close friends" feature, so that users could send images, photos, and texts privately to others, and was embedded with Instagram's photo editing system. Instagram discontinued this version of Threads in December 2021, mainly due to most of its features being rolled out on Instagram, as well as low usage compared to other social media applications. Approximately 220,000 users globally downloaded the original Threads app, less than 0.1% of Instagram's monthly active users.
Development and announcement
On April 14, 2022, business magnate Elon Musk attempted a takeover of the social media platform Twitter. On October 27, Musk acquired the company for billion in an agreement with the company's board. As Twitter's owner and CEO, Musk implemented several changes to the platform, including monetizing the platform's application programming interface (API); his views and policy changes concerned many advertisers, some of whom left the platform. In November 2022, Meta employees started discussing the possibility of creating a separate app for Instagram Notes, an upcoming text-based feature designed for Ins |
https://en.wikipedia.org/wiki/List%20of%20AeroLogic%20destinations | AeroLogic's operations are broadly divided in two. From Monday to Friday it mainly flies to Asia, serving the DHL network. On weekends, it mainly operates to the United States on behalf of Lufthansa Cargo. AeroLogic operates services to the following destinations:
List
References
AeroLogic |
https://en.wikipedia.org/wiki/AI%20Romantic | AI Romantic (; lit. My Smart Lover) is a Hong Kong television series created and produced by television network TVB. The series made its exclusive debut on myTV Super OTT streaming service in April 2021 as an original production of the platform, prior to its subsequent airing on TVB Jade from 3 August 2021 to 11 September 2021 for 30 episodes. With the topic of artificial intelligence (AI) as the backdrop and a cast starring Ali Lee and Luk Wing, it explores the integration and impact that AI would have on human daily lives.
Cast
Ali Lee as Ah Bo – an artificial intelligence robot
Luk Wing as William Koo Ka-lim, an employee at the AI company, Singularity
Crystal Fung as Dorian Tse Ka-yin – Sales Department Head at Singularity and William's supervisor
Ram Chiang as Koo Hok-lai – William's father who works as a security guard
Mayanne Mak as Koo Ka-yee – William's older sister who has a struggling acting career
Angelina Lo as Yu Fung-cai - William's stay-at-home grandmother
Tyson Chak as Rocky – an artificial intelligence robot functioning the role of a security guard
C Kwan as Biu Gei – William's friend and an AI expert
Kelvin Kwan as Bruce Luk – the president of Singularity
Chun Kai-wai as Cook – Bruce's partner at Singularity
Chui Ka-him as Siu Ji – an artificial intelligence robot functioning the role of a child
Brian Tse as Angus Chung – a police officer
Plot
In the realm of advanced technology, robots and AI have seamlessly become part of daily life. William Koo, a salesperson at Singularity, finds himself in this evolving landscape. During a press conference, Singularity unveils groundbreaking AI robots surpassing all previous models. In an unexpected turn, a female robot escapes and collides with William's car. He then brings her home and names her Ah Bo. As Ah Bo becomes an indispensable servant to the Koo family, assisting them with daily chores and rescuing them from their worldly troubles, she embarks on a profound journey of understanding the complexity of human emotions and desires. During the course of the process, she gradually adopts human-like behaviors, assimilating their feelings and needs. As William and his supervisor, Dorian Tse, grow closer, Ah Bo begins to experience feelings of jealousy.
When William and Dorian break up, he begins to realize his feelings for Ah Bo and confesses to her. Meanwhile, Ah Bo and other AI robots get infected with a dangerous virus that can potentially make them uncontrollable and pose a threat to humans. In the midst of this, having witnessed the cruelty humans have inflicted upon them, the AI robots have even stronger motivations to initiate rebellious actions in response. However, Ah Bo never abandoned the intention of protecting William, nor did Ah Bo have any desire to harm humans. Under arrest warrant and aware that she can get uncontrollable once the virus fully infects her, Ah Bo makes the decision to destroy her own self. Before Ah Bo leaves, she wrote a letter accounting for all her |
https://en.wikipedia.org/wiki/Sikhism%20in%20Portugal | Sikhs in Portugal is a minority religion. The Sikh community in Portugal is a small but vastly growing one. According to the latest available data, there are estimated to be around 35,000 Sikhs living in the country. The Sikh population in Portugal has grown over the years, with many Sikhs migrating to the country for agricultural work, construction work or to start their own businesses.
Sikhism in Portugal dates back to the 1990s, where many Sikhs migrated as a result of relaxed immigration policies and labour shortages.
History
1990's to present
After Portugal joined the European Union in 1986 and Schengen Area in 1995, it became attractive for a large number of immigrants from South Asia. The Sikh migration began in the early 1990s when Portugal was undergoing a construction boom and was in a labour shortage.
Since the 1990s, Sikhs from Punjab, India began to work in the agricultural, tourism and manufacturing sector. Many Sikhs also have opened up Indian restaurants around Portugal.
Most Sikhs can be found in Lisbon, Porto, Albufeira and other cities in the Algarve.
In 2008, Portuguese Police did not arrest a Sikh man for his kirpan despite the blade exceeded the legal limit because they recognised its religious significance.
In 2022, it was reported that 2,000 Sikhs took part in the annual Vaisakhi Nagar Kirtan parade in Porto.
Demographics
In 2007, it was estimated there were 5,000 Sikhs in Portugal.
In 2010, it was estimated by Sikh religious leaders in Portugal that there were 10,000 Sikhs.
Gurdwara
There are 3 Gurdwaras in Portugal.
Gurdwara Sikh Sangat Sahib in Lisbon
Gurdwara Sri Guru Teg Bahadur in Albufeira
Gurdwara Sri Guru Nanak Dev Ji in Porto
See also
Religion in Portugal
Sikhism by country
Indians in Portugal
Sikhism in Greece
Sikhism in Italy
Sikhism in France
References
Religion in Portugal
Portugal
Portugal |
https://en.wikipedia.org/wiki/Benedict%20du%20Boulay | Benedict du Boulay is a British computer scientist and one of the pioneers in the area of application of Artificial Intelligence to education. He is currently Emeritus Professor of Artificial Intelligence in the School of Engineering and Informatics at the University of Sussex and visiting professor at University College London.
Biography
du Boulay gained a BSc in physics from Imperial College London (1966) and a PGCE from the University of Zambia (1968). He completed his PhD in 1978 on Logo in the Department of Artificial Intelligence at the University of Edinburgh. He is currently Emeritus Professor of Artificial Intelligence at the University of Sussex.
His responsibilities in Sussex included Dean of Cognitive and Computing Sciences (1994–1998) as well as dean of science and Technology (2002–2009). His community service to the field of AI in Education included being a President (2015–2017) of the International Society for Artificial Intelligence in Education and an Associate Editor of its International Journal of Artificial Intelligence in Education.
Research
du Bolulay edited/wrote 12 books and wrote over 190 papers. His most recent book is Handbook of AI in Education.
Publications
Benedict du Boulay and Riichiro Mizoguchi (eds.) Proceedings of AI-ED'97, 8th World Conference on Artificial Intelligence in Education, Kobe, Japan, 18–22 August 1997, IOS, 1997
Christopher Thornton and Benedict Du Boulay (eds.) Artificial Intelligence: Strategies, Applications, and Models Through Search. Amacom Books, 1999.
Carmel Kent and Ben Du Boulay, AI for Learning. CRC Press, 2022
Benedict du Boulay, Antonia Mitrovic and Kalina Yacef (eds.): Handbook of Artificial Intelligence in Education. Edward Elgar, 2023.
References
External links
Personal page at Sussex
Academics of the University of Sussex
British computer scientists
Alumni of the University of Edinburgh
Year of birth missing (living people)
Living people |
https://en.wikipedia.org/wiki/Cardinal%20Technologies | Cardinal Technologies, Inc., was an American computer company originally based in Lancaster, Pennsylvania, that primarily manufactured modems for personal computers, among other peripherals.
History
Cardinal Technologies was founded in February 1987 by Harold Krall and seven other ex-employees of the RCA Corporation's New Products Division research and development office and factory in Lancaster, Pennsylvania. In 1986, General Electric completed their acquisition of the ailing RCA Corporation, divesting RCA's New Products Division—which had incubated and produced many of the company's ideas for consumer electronics, by selling it to—Thomson S.A. of France. In 1987, Krall and several of his colleagues from RCA bartered for the acquisition of the Lancaster plant, its equipment, and associated liabilities from General Electric and Thomson S.A. for $4 million. The colleagues incorporated Cardinal Technologies from this plant, which was to be their break into the fast-growing personal computer market of the late 1980s, which GE and RCA had largely ignored. Krall and company planned for Cardinal to manufacture complete computer systems from the onset but started small by manufacturing modems for personal computers.
Cardinal offered modems both external, housed in plastic chassis sat beside the computer, and internal, attached to a computer's internal expansion slot. The company became a major player in the field within three years of its incorporation, helped along by OEM contracts with major computer systems brands. By the early 1990s, the company also produced graphics cards, keyboards, and monitors. In late 1990, the company introduced their first line of personal computer systems, called the PC 10, an IBM PC compatible based on the i386 and i386SX processors and intended to compete with IBM's PS/1 and Apple's Macintosh. In 1991, Cardinal partnered with Fujifilm to develop the Cardinal SnapPlus, an expansion card for IBM PCs and compatibles that acted as a both a character generator and chroma keyer for superimposing digital graphical and textual elements over a videotape feed generated from the computer back onto tape. It also allowed for computers to import photographs from Video Floppy disks taken by early electronic cameras, such as that Fujifilm had produced in the 1980s and 1990s.
Cardinal turned its first profit in 1990, earning $600,000 on sales of $33 million. Employment numbers at the company's Lancaster headquarters hovered between 200 and 220 workers from 1991 to 1993. The company broke even in profits in 1991 and posted a loss in 1992. Its stature in the modem arena continued to grow however, Cardinal becoming the second largest manufacturer of fax modems in the United States in 1992, trailing Intel.
In September 1993, Paul Allen, co-founder of Microsoft invested $15 million into Cardinal by way of his Vulcan company, representing a stake of just under 20 percent of the company. Between February and March 1994, Kroll and two other c |
https://en.wikipedia.org/wiki/The%20Voice%20%28Australian%20season%2012%29 | The twelfth season of The Voice began airing on 6 August 2023. In March 2023, it was announced Seven Network had once again picked up the series for its twelfth season, set to broadcast in 2023. At the same time, it was announced that Jessica Mauboy, Rita Ora, and Guy Sebastian would all return as coaches. Jason Derulo debuted as a coach, replacing Keith Urban, who left the show for personal reasons. Sonia Kruger also returned as host.
With Keith Urban's departure as a coach, the twelfth season is the first to not feature any of the original coaches from the show's inaugural season.
Similar to the previous two seasons, the finale was pre-recorded and the winner was determined by a viewer poll. Tarryn Stokes was declared the winner, marking Rita Ora's second win as a coach. Also, with Stokes' win, Ora became the third coach (after Seal and Delta Goodrem) to win two consecutive seasons in the Australian franchise of The Voice.
Coaches and host
In March 2023, it was announced that Guy Sebastian, Rita Ora, and Jessica Mauboy would all return as coaches for the twelfth season. It was also announced that Jason Derulo would make his debut as a coach this season, replacing Keith Urban. Sonia Kruger returned as host.
Teams
Colour key
Winner
Finalist
Eliminated in the Semifinal
Eliminated in the Singoffs
Eliminated in the Battles
Eliminated in the Ultimate callbacks
Eliminated in the Callbacks
Withdrew
Blind auditions
In the blind auditions, the coaches complete their teams with 12 members each. Each coach can block another two times, and the coach who is blocked is unable to pitch for the artist. Like last season, a coach can block at any time, even during their pitch, as long as the blocker turned their chair. However, this season, coaches are allowed to block before a coach turns their chair. Also, this season axed the Battle Pass, which was introduced in the previous season.
Shanae Watson did not apply for The Voice, but was brought in to audition after her father, Chris, encouraged her.
Callbacks
The callbacks aired on 28 and 29 August. Coaches form four groups of three, with one going straight home, one going straight through to the battles, and one going to the ultimate callbacks for a final decision before the battles.
Ultimate callbacks
The ultimate callbacks aired on 3 September. Coaches form two groups of two from the artists that did not advance from the callbacks nor were eliminated. In a make-or-break sing off, one from each group advances to the battles, while the other is eliminated.
Battles
The Battles aired on 10 September and 17 September. In the battles, coaches are to cut their team to 2 artists by pairing their artists to sing the same song as a duet.
Team Guy and Jason performed on the first night of battles and Team Jess and Rita performed on the second night.
Singoffs
In the Singoffs, coaches pick one of their battle winners to go straight through the Semifinals. Then the remaining artists must |
https://en.wikipedia.org/wiki/Clop%20%28cyber%20gang%29 | Clop (sometimes written “Cl0p”) is a cybercriminal organization known for its multilevel extortion techniques and global malware distribution. It has extorted more than $500 million in ransom payments, targeting major organizations worldwide. Clop gained notoriety in 2019 and has since conducted high-profile attacks, using large-scale phishing campaigns and sophisticated malware to infiltrate networks and demand ransom, threatening to expose data if demands are not met.
Clop increasingly uses pure extortion approaches with "encryption-less ransomware". It also employs more complex attacks, such as zero-day, that have a significant impact and allows them to demand higher ransom payments.
Description
Clop is a Russian-speaking ransomware gang. It is known for compromising big organizations in various industries worldwide using multilevel extortion techniques that resulted in huge payouts estimated at US$500 million as of November 2021. According to the US Cybersecurity and Infrastructure Security Agency (CISA), Clop is "driving global trends in criminal malware distribution". Clop avoids targets in former Soviet countries and its malware can't breach a computer that operates primarily in Russian.
In 2023, Clop uses more and more pure extortion approaches with "encryption-less ransomware" that skips the encryption process but still threatens to leak data if a ransom is not paid. This technique allows threat actors to achieve the same results and generate larger profits.
Clop is used to conducting malicious activities during holidays, when the number of staff members present in companies tends to be at its lowest. This is the case of the Accellion FTA software attack on December 23rd, 2020, and MOVEit attack during the summer 2023.
The cybercriminals declared to bleeping computer to have erased "right away" data concerning "the military, children's hospitals, GOV etc".
History
First exploits
The gang was first spotted by researchers in February 2019. It evolved as a variant of the "CryptoMix" ransomware family. Clop is an example of ransomware as a service (RaaS). Clop ransomware used a verified and digitally signed binary, which made it look like a legitimate executable file that could evade security detection.
In December 2019, the group attacked Maastricht University. The ransomware encrypted almost all Windows systems used by Maastricht University, making it impossible for students and staff members to access any university online services during the Christmas break. The offenders set a ransom, which allowed a decryption of the university systems after Maastricht University paid €200,000 in a Bitcoin transfer. The lessons resumed with no delays on 6 January, with most online services again available to both students and staff members. In 2020, the public prosecutor service seized the cryptocurrency account in which the ransom was paid. Once the ransom was converted from Bitcoin to Euros, the university was able to recover €500.000, doub |
https://en.wikipedia.org/wiki/List%20of%20proposed%20quantum%20registers | A practical quantum computer must use a physical system as a programmable quantum register. Researchers are exploring several technologies as candidates for reliable qubit implementations.
Superconducting quantum computing (qubit implemented by the state of nonlinear resonant superconducting circuits containing Josephson junctions)
Trapped ion quantum computer (qubit implemented by the internal state of trapped ions)
Neutral atoms in optical lattices (qubit implemented by internal states of neutral atoms trapped in an optical lattice)
Quantum dot computer, spin-based (e.g. the Loss-DiVincenzo quantum computer) (qubit given by the spin states of trapped electrons)
Quantum dot computer, spatial-based (qubit given by electron position in double quantum dot)
Quantum computing using engineered quantum wells, which could in principle enable the construction of a quantum computer that operates at room temperature
Coupled quantum wire (qubit implemented by a pair of quantum wires coupled by a quantum point contact)
Nuclear magnetic resonance quantum computer (NMRQC) implemented with the nuclear magnetic resonance of molecules in solution, where qubits are provided by nuclear spins within the dissolved molecule and probed with radio waves
Solid-state NMR Kane quantum computer (qubit realized by the nuclear spin state of phosphorus donors in silicon)
Vibrational quantum computer (qubits realized by vibrational superpositions in cold molecules)
Electrons-on-helium quantum computer (qubit is the electron spin)
Cavity quantum electrodynamics (CQED) (qubit provided by the internal state of trapped atoms coupled to high-finesse cavities)
Molecular magnet (qubit given by spin states)
Fullerene-based ESR quantum computer (qubit based on the electronic spin of atoms or molecules encased in fullerenes)
Nonlinear optical quantum computer (qubits realized by processing states of different modes of light through both linear and nonlinear elements)
Linear optical quantum computer (LOQC) (qubits realized by processing states of different modes of light through linear elements e.g. mirrors, beam splitters and phase shifters). Quantum microprocessor based on laser photonics at room temperature made possible.
Diamond-based quantum computer (qubit realized by the electronic or nuclear spin of nitrogen-vacancy centers in diamond)
Bose-Einstein condensate-based quantum computer
Transistor-based quantum computer (string quantum computers with entrainment of positive holes using an electrostatic trap)
Rare-earth-metal-ion-doped inorganic crystal based quantum computer (qubit realized by the internal electronic state of dopants in optical fibers)
Metallic-like carbon nanospheres-based quantum computer
References
Quantum computing |
https://en.wikipedia.org/wiki/Zach%20Zaidman | Zach Zaidman is an American sportscaster for the Chicago Cubs radio network (since 2018) and play-by-play announcer for the DePaul Blue Demons men's basketball team on WSCR 670 AM. He was a Chicago Bears radio network sideline reporter from 2004 to 2018.
References
Chicago Cubs announcers
Chicago Bears announcers
Living people
Syracuse University alumni
Year of birth missing (living people) |
https://en.wikipedia.org/wiki/Prelude%20of%20the%20Chambered | Prelude of the Chambered is a first-person dungeon crawler video game designed by Markus Persson, the creator of Minecraft. The game was created for the 21st Ludum Dare programming competition within 48 hours on August 20–22, 2011. The game was released following the end of the competition.
Gameplay
In Prelude of the Chambered, the player navigates their way through various dungeon-like areas as they try to escape a prison while fighting enemies and solving puzzles. Along the players journey, they will find various items, powers, and weapons. Enemies in the game that the player must fight include bats and ghosts.
While a plotline is not specified, the player starts inside of a small prison cell that they must escape from. As the player traverses through the prisons mysterious corridors, the player will explore locations such as dungeons, crypts, ice caverns, and haunted labyrinths.
Development and release
Prelude of the Chambered was programmed in the span of 48 hours by Markus Persson for the 21st Ludum Dare programming competition. The theme of the Ludum Dare was "Escape". Prelude of the Chambered was based on a previous game developed by Markus Perrson known as Legend of the Chambered. The development of the game was livestreamed and documented on the now defunct Justin.tv.
The game was released on August 22, 2011. The game took third place in the Ludum Dare 21 community rankings, but did not place in any other categories. In December 2011, the game was recreated in Minecraft with commands and redstone.
Reception
Prelude of the Chambered was positively received, being considered impressive for being coded in only 48 hours. The gameplay was described as reminiscent of the Legend of Zelda series of games according to Wired. Rock Paper Shotgun described the game as having traces of Wolfenstein 3D. Game Informer described the game as being "surprisingly deep" for its length of development.
References
See also
Minicraft, another game developed by Markus Persson for a different Ludum Dare.
2011 video games
Video games designed by Markus Persson
Video games developed in Sweden
Adventure games
Single-player video games |
https://en.wikipedia.org/wiki/List%20of%20former%20Kentucky%20Educational%20Television%20translators | This is a list of former translators that were used by the Kentucky Educational Television network in order to expand the broadcast area of certain transmitters to include remote rural areas not covered by their main signal. These low-power translators served as repeaters of the nearest KET transmitter. The transmitters were used to rebroadcast the network's programming from flagship station WKLE-TV in Lexington. The translators, which repeated the nearest full-power transmitter within the KET system, went on the air as early as 1971 and as late as the mid- to late 1980s. All but three translators were shut down over time as the gradual penetration of cable and satellite television service increased in most of Kentucky's television markets and the state's remote areas.
Former translators
Translators that converted to digital
In 2007, the three remaining analog translators within the network were supplemented by digital companion stations. Analog television service from those three translators ended in April 2009 along with the 16 full-power transmitters in the network as part of the nationwide digital TV transition.
References
Defunct television stations in the United States
Kentucky Educational Television
Television stations in Kentucky |
https://en.wikipedia.org/wiki/Skystream | Skystream or sky stream may refer to:
Skystream Airlines; see List of defunct airlines of the United States (Q–Z)
SkyStream Networks, an internet video delivery company, a subsidiary of Ericsson Television
OTC Skystream, an Australian network service of the Overseas Telecommunications Commission
Sky Stream, a British television streaming service of Sky UK
Southwest Windpower Skystream, a model line of airborne wind turbines
See also
Atmospheric river, a linear humid air mass and air current
Jet stream (disambiguation)
Airstream (disambiguation)
Stream (disambiguation)
Sky (disambiguation) |
https://en.wikipedia.org/wiki/Aarti%20Gupta%20%28computer%20scientist%29 | Aarti Gupta is a computer scientist working in formal methods, Electronic Design Automation, and programming languages. Educated in India and the US, she is currently a professor in the Department of Computer Science at Princeton University.
Education and career
Aarti Gupta received her undergraduate degree from IIT Bombay, India and PhD in Computer Science from Carnegie Mellon University in 1994. She later worked at NEC Laboratories America developing tools for verifying correctness of large-scale industrial codebases written in C and C++ code. The efforts of she and her team won her the 2005 NEC Technology Commercialization Award. She joined the Department of Computer Science at Princeton University as a full professor in 2015. She has published extensively on subjects such as program synthesis, verification of concurrent programs, hardware, and verification of computer networks.
Service and awards
ACM Fellow, 2017: "For contributions to system analysis and verification techniques and their transfer to industrial practice"
Member of the Steering Committee, Computer Aided Verification conference.
Past member of Steering Committee, Formal Methods in Computer-Aided Design (FMCAD) Conference
Member of editorial board, Formal Methods in System Design
Member of editorial board, ACM Transactions on Design Automation of Electronic Systems
References
Year of birth missing (living people)
Living people
Indian computer scientists
Indian women computer scientists
American computer scientists
American women computer scientists
IIT Bombay alumni
Carnegie Mellon University alumni
Princeton University faculty
Fellows of the Association for Computing Machinery |
https://en.wikipedia.org/wiki/Practical%20Peripherals | Practical Peripherals, Inc., was a computer peripheral manufacturer active from 1981 to 1999 and based in Los Angeles County. It chiefly manufactured modems for personal computers. In 1989, it was acquired by Hayes Microcomputer Products, who kept the company around as a subsidiary until Hayes themselves were bought out by Zoom Telephonics.
History
Practical Peripherals, Inc., was incorporated in 1981 by Michael Seedman in Westlake Village, California, as a manufacturer of modems for personal computers. The company remained private for its entire independent existence, manufacturing modems, data buffer devices for printers and faxes, and other telecommunications products. Members of the Seedman family presided over operations at Practical, with Joseph Seedman acting as chief operating officer and Eric Seedman operating as vice president of sales under CEO Michael.
In 1985, Practical was sued for alleged patent infringement by Hayes Microcomputer Products of Atlanta, Georgia, over a technology used in the latter's modem products. Practical counter-sued, claiming that Hayes' patent was invalid. Rather than drag on legal proceedings, Hayes acquired Practical for an undisclosed sum in August 1989, allowing it to operate as an independently operating subsidiary, the Practical brand surviving, and short-circuiting their respective lawsuits. Practical that year projected sales of $20 million on their modem products.
In May 1992, Hayes doubled the size of Practical's headquarters moving it from Westlake Village to a 70,000-square-foot facility in Thousand Oaks, California. All operations of the company were performed under one roof at this new location, including marketing, development, administration, and manufacturing. The company increased their payroll in tandem, the company peaking at 700 workers in September 1992. Sales of Practical's products peaked that year as well, at $50 million.
Following price cuts and consolidation of the company's operations in 1993, employment at Practical gradually shrank to 575 workers by October 1994 (450 full-time workers and 125 temporary workers). Between October 1994 and November 1994, Hayes formally merged Practical into themselves, absorbing their liabilities while allowing Practical to continue to be managed independently. In late November 1994, Hayes sought Chapter 11 bankruptcy protection due to constricting cash flows, and despite reassurances that Practical would not see further consolidation, Hayes laid off 200 within Practical in late December that year. As Practical had formally merged with Hayes right before the parent company's bankruptcy, Practical's management were dragged into Chapter 11 proceedings along with them. In 1995, Hayes laid of 100 employees of Practical. In September 1996, Hayes announced that Practical's 375 remaining employees were to be laid off in the next seven months, effectively ending Practical's independent operations. Practical continued as a brand of Hayes modems for the n |
https://en.wikipedia.org/wiki/Prometheus%20Products | Prometheus Products, Inc. was an American computer peripheral manufacturer active from 1981 to 1996. The company primarily manufactured modems and sound cards for personal computers for the bulk of its existence.
History
Prometheus Products was incorporated in Fremont, California, in January 1981. The company was founded to capitalize on the Apple II series of home computers by providing peripherals and other add-on products. In 1984, the company began focusing on the production of modems, following a breakthrough in modem design developed within Prometheus that allowed the relatively inexpensive Intel 8031 to be used as a digital signal processor. This replaced the need for numerous analog devices for signal processing circuits customary in modem design at the time. In 1984, the company's board of directors hired Tom McShane as chairman of the company; he shortly after expanded the company to occupy two buildings, including a production factory and a research and development company, within Fremont.
Prometheus was en route to generating $7 million in sales in 1987 and was one of the top 10 modem manufacturers ranked by global sales. Between 1987 and 1989, the company relocated out of state to Tigard, Oregon. In 1992, the company merged with Technology Concepts, Inc., a manufacturer of fax and enhanced voice modems based in Belmont, California. Prometheus relocated again to Tualatin, Oregon, by early 1994.
In early 1994, the company introduced its first series of sound cards, the Aria 16 (comprising the flagship Aria 16 product and the Aria 16se featuring a SCSI-2 connector for connecting to optical drives). The Aria 16 was based on Sierra Semiconductor's Aria sound chipset featuring 32-polyphony wavetable synthesis and Sound Blaster–compatible FM synthesis. The Aria 16 was bargain priced but received decent reviews from the computer press of its day. Prometheus' sound cards soon found use in prebuilt computer systems manufactured by IBM and DEC.
Sales of Prometheus' modems cooled considerably in the early 1990s, the company trailing behind the growing pace of advancements in modem bit rates and hampered by quality control issues stemming for slow communication with their Taiwanese manufacturing contract. In October 1994, Sierra Semiconductor purchased Prometheus Products in whole for an undisclosed sum of cash, making the company a subsidiary under Sierra while still operating out of Tualatin. Sierra tasked businessman Jack Murphy, then recently of Practical Peripherals to turn the company around; actions he took included moving the company's manufacturing efforts stateside and shuffling the company's management to included his contacts from Practical Peripherals, Apple, and Tektronix.
These actions were not enough to stem Prometheus' losses immediately, the subsidiary generating $4.6 million in losses on revenues of $19 million by late 1995. In January 1996, Sierra announced the divestiture and sale of Prometheus to the highest bidder.
R |
https://en.wikipedia.org/wiki/Excess%20heat | Excess heat can refer to, or be used in the context of:
Cold fusion#Excess heat and energy production (in the context of cold fusion)
Computer cooling
Earth's energy budget (in the context of climate change)
Waste heat |
https://en.wikipedia.org/wiki/Phill%20Robinson | Phill Robinson (born 21 November 1965) is a British businessman and the founder and CEO of Boardwave, a European networking community for software CEOs and Investors. He is the former chief executive officer of IRIS Software Group and Exact Software in the Netherlands. He was also Chief Marketing Officer at Salesforce.com.
Early life
He was born in Leicester, England and attended Rawlins Community College and comprehensive school, in Quorn. Robinson received a BSc in Computer Science from Coventry Polytechnic, now Coventry University, in 1988. After graduating he joined Oracle Corporation. A year later he moved to Silicon Valley.
Career
Robinson has 35 years leadership experience in the software industry. He served in the management teams of a number of international software firms in both Europe and the US. With Oracle (1987 – 1990) he started as a graduate consultant and after a year moved to Redwood Shores, California to prepare and bring to market Oracle's first MRP software package, known as Oracle Manufacturing to the US. He returned to the UK two years later, to introduce the product into the UK & European market. In 1990 – 1996, he moved to Sybase, a RDBMS (Relational Database Management System) where he switched from a technical management position into marketing, laterly running their European Product Marketing team. Robinson was subsequently part of the founding team in Europe, of Siebel Systems (1996 – 2003), a pioneer of CRM (Customer Relationship Management) Software. Robinson remained at Siebel for 7 years, helping to grow the European business from six people to well over 2000, and establish CRM as a new business software category in Europe. Robinson's final role at Siebel Systems was VP International Marketing and Alliances. After Siebel was acquired by Oracle for £5.85bn in 2005, Robinson left to join Salesforce.com (2003 – 2007), where he was part of a team that launched the company in Europe. He was promoted by Marc Benioff, (CEO & Chair) to Chief Marketing Officer over a year later, and once more, moved to San Francisco to pursue the role. During this time, Salesforce.com successfully completed its IPO.
Prior to his return to the UK, Robinson was also Chief Executive Office at CacheLogic.
On return to the UK, Robinson was appointed CEO of Velocix, formerly CacheLogic (2007 – 2008), a Venture Capital backed video content delivery network, on the internet. Robinson's remit was to commercialise the proposition, bring the product to market and begin selling to new customers. He initiated a partnership with Verizon and trials with BBC iPlayer. However, after 18 months of increasing video delivery traffic on the network, Robinson clashed with investors over product investment levels, and resigned. The business was then sold to Alcatel Lucent.
Robinson joined IRIS Software (2009 – 2017), one of Europe's largest Private Equity backed software companies. He was responsible for its Accountancy Software Division, and lead the sp |
https://en.wikipedia.org/wiki/IEEE%20Conference%20on%20Artificial%20Intelligence | The IEEE Conference on Artificial Intelligence (IEEE CAI) is a large annual conference and exhibition focused on broad industry applications of artificial intelligence in its many forms and their societal implications. The event is co-sponsored by the IEEE Computational Intelligence Society, IEEE Computer Society, IEEE Signal Processing Society, and IEEE Systems, Man, and Cybernetics Society. In 2023 the conference focused on six verticals including AI in transportation, AI in energy, AI in healthcare, industrial AI, AI for earth system decision support, and social implications of AI. The conference typically includes invited lectures from luminaries in the sectors of interest, exhibits by leading companies, and hundreds of papers/posters by international authors.
References
External links
IEEE CAI 2024, Singapore
IEEE CAI 2023, Santa Clara, CA US
Artificial intelligence
Artificial intelligence conferences
Computer science conferences
Computer conferences
Technology conferences
Business conferences
International conferences
Recurring events established in 2023 |
https://en.wikipedia.org/wiki/Private%20cloud%20computing%20infrastructure | Private cloud computing infrastructure is a category of cloud computing that provides comparable benefits to public cloud systems, such as self-service and scalability, but it does so via a proprietary framework. In contrast to public clouds, which cater to multiple entities, a private cloud is specifically designed for the requirements and objectives of one organization.
Definition
A private cloud computing infrastructure constitutes a distinctive model of cloud computing that facilitates a secure and distinct cloud environment where only the intended client can function. It can either be physically housed in the organization's in-house data center or be managed by a third-party provider. In a private cloud, the infrastructure and services are always sustained on a private network, and both the hardware and software are devoted exclusively to a single organization.
History
The concept of private cloud infrastructure started to take shape around the mid-2000s, coinciding with the rise of other cloud computing forms. It came into existence as a solution to the shortcomings of public clouds, particularly concerns over data control, security, and network performance. IT departments began to mirror the automation and self-service features of the public cloud in their data centers. Over time, these services became more advanced, and private cloud technology has been refined to address businesses and organizations' diverse needs.
Architecture
Private cloud computing infrastructure generally involves a mix of hardware, network infrastructure, and virtualization software.
The hardware, often referred to as a cloud server or cloud array, consists of a server rack or a collection of server racks containing the storage and processors that constitute the cloud.
The virtualization software, such as Hyper-V, OpenStack, or VMWare, establishes and oversees virtual machines with which users interact.
The network infrastructure connects the private cloud to users and may facilitate connectivity with other on-premises data centers or clouds.
Applications
Private cloud infrastructures are usually utilized by medium to large businesses and organizations that need robust control over their data, have extensive computing needs, or have specific regulatory or compliance obligations. This includes healthcare organizations, government agencies, financial institutions, and any business that needs to process and store large data volumes.
See also
Cloud computing
Edge Computing
References
Cloud computing
Information technology |
https://en.wikipedia.org/wiki/Preferred%20Networks | Preferred Networks Inc. is a Japanese startup focused on the research and development of deep learning for IoT applications. The company was spun off from Preferred Infrastructure (PFI), founded by Toru Nishikawa, Daisuke Okanohara, and others on March 26, 2014.
Overview
The company advocates for "Edge Heavy Computing," which involves the distributed, collaborative processing of massive data generated by devices at the edge of the network. It aims to achieve innovation in various fields, focusing on three major business areas: transportation systems, manufacturing, and bio-healthcare. Through the development of the open-source deep learning framework Chainer (development ceased in December 2019), it promotes advanced initiatives in collaboration with organizations such as Toyota Motor Corporation, FANUC, and National Cancer Center Japan.
History
Preferred Infrastructure
March 2006: During their studies at University of Tokyo, ACM International Collegiate Programming Contest Japan representatives Toru Nishikawa (CEO), Kazuki Ota (CTO, later founded Treasure Data in 2011), Daisuke Okanohara, and Jiro Nishitoba (founded Retrieva in 2016) along with other students established Preferred Infrastructure (PFI) with the aim of developing natural language processing and search engines.
January 15, 2008: Changed from a limited company to a joint-stock company.
July 15, 2008: Provided a related entry display feature for Hatena Co., Ltd.'s Hatena Bookmark.
June 21, 2010: Library information service Webcat Plus adopted Sedue.
October 31, 2016: Transferred the business of the integrated search platform Sedue, which was a product of Preferred Infrastructure, to Retrieva Co., Ltd., which was established by the employees of Preferred Infrastructure.
Although it is not currently in operation, the following products were available around 2008:
Sedue, a large-scale search engine
Reflexa, an associative search engine
Viim, a classification-based image search engine
Hotate, a related article recommendation engine
Preferred Networks
March 26, 2014: Established Preferred Networks, Inc. (PFN) with Toru Nishikawa taking office as the representative director.
October 1, 2014: Initiated joint research with Toyota.
October 1, 2014: Concluded a capital and business alliance contract with NTT, receiving a 200 million yen investment.
June 9, 2015: Released the open source deep learning framework Chainer.
June 11, 2015: Formed a business partnership with Panasonic and FANUC.
August 21, 2015: Received a 900 million yen investment from FANUC Corporation, with the valuation at 15 billion yen.
September 18, 2015: Technological alliance with NVIDIA.
December 30, 2015: Received a 900 million yen investment from Toyota.
July 2016: Merged with DeNA to form a new company.
July 2016: Selected as an innovative start-up from Japan at the 2016 US-Japan Innovation Awards.
October 2016: Established the PFN Cancer Research Institute (PCRI).
November 2016: Announced b |
https://en.wikipedia.org/wiki/Machine%20learning%20potential | Beginning in the 1990s, researchers have employed machine learning programs to construct interatomic potentials, mapping atomic structures to their potential energies. Such machine learning potentials promised to fill the gap between density functional theory, a highly-accurate but computationally-intensive simulation program, and empirically derived or intuitively-approximated potentials, which were far computationally lighter but substantially less accurate. Improvements in artificial intelligence technology have served to heighten the accuracy of MLPs while lowering their computational cost, increasing machine learning's role in fitting potentials.
Machine learning potentials began by using neural networks to tackle low dimensional systems. While promising, these models could not systematically account for interatomic energy interactions; they could be applied to small molecules in a vacuum and molecules interacting with frozen surfaces, but not much else, and even in these applications often relied on force fields or potentials derived empirically or with simulations. These models thus remained confined to academia.
Modern neural networks construct highly-accurate, computationally-light potentials because theoretical understanding of materials science was increasingly built into their architectures and preprocessing. Almost all are local, accounting for all interactions between an atom and its neighbor up to some cutoff radius. There exist some nonlocal models, but these have been experimental for almost a decade. For most systems, reasonable cutoff radii enable highly accurate results.
Almost all neural networks intake atomic coordinates and output potential energies. For some, these atomic coordinates are converted into atom-centered symmetry functions. From this data, a separate atomic neural network is trained for each element; each atomic neural network is evaluated whenever that element occurs in the given structure, and then the results are pooled together at the end. This process - in particular, the atom-centered symmetry functions, which convey translational, rotational, and permutational invariances - has greatly improved machine learning potentials by significantly constraining the neural networks' search space. Other models use a similar process but emphasize bonds over atoms, using pair symmetry functions and training one neural network per atom pair.
Still other models, rather than using predetermined symmetry-dictating functions, prefer to learn their own descriptors instead. These models, called message-passing neural networks (MPNNs), are graph neural networks. Treating molecules as three-dimensional graphs (where atoms are nodes and bonds are edges), the model intakes feature vectors describing the atoms, and iteratively updates these feature vectors as information about neighboring atoms is processed through message functions and convolutions. These feature vectors are then used to predict the final potentials. This me |
https://en.wikipedia.org/wiki/AN/UYA-4 | The AN/UYA-4 is a series of system consoles developed by Hughes Aircraft Company for the United States Navy.
Description
The Naval Tactical Data System (NTDS) was originally developed to organize anti-aircraft warfare, but in the mid-1960s, it began to be considered for use in anti-submarine warfare (ASW) as well, and the ASWSC&CS (ASW Ship Command and Control System) project was initiated. As part of this project, a console with greater versatility than the SYA-4 used by the early NTDS was required. The UYA-4 was developed in response and was designed around 1965.
The UYA-4 series was the first NTDS display subsystem to employ electronic circuits as integrated circuits instead of individual components such as transistors, resistors, and diodes. The basic model is the OJ-194/UYA-4, which has a 12-inch plan position indicator, six buttons with fixed functions, and 18 variable-action buttons (VABs), allowing switching between 45 operational modes.
This series also included table type consoles (operations summary console, OSC) with a large 20-inch PPI scope arranged horizontally so that the screen could be viewed from three sides: initially the OA-7981 and later the OJ-195 and 197 were used.
In addition, the OA-7980 was also included to process information about the altitude of targets by obtaining information from 3D radar and other sources.
However, the functions of this series were basically limited to operation and display, and information processing was performed by mainframe computers such as the CP-642 and AN/UYK-7. The OJ-197/UYA-4 in particular was expensive to maintain and manage, and was gradually replaced in succeeding systems by the AN/UYQ-70, capable of processing information on its own.
References
Books
Military electronics of the United States
Equipment of the United States Navy
Hughes Aircraft Company |
https://en.wikipedia.org/wiki/Chambolle-Pock%20algorithm | In mathematics, the Chambolle-Pock algorithm is an algorithm used to solve convex optimization problems. It was introduced by Antonin Chambolle and Thomas Pock in 2011 and has since become a widely used method in various fields, including image processing, computer vision, and signal processing.
The Chambolle-Pock algorithm is specifically designed to efficiently solve convex optimization problems that involve the minimization of a non-smooth cost function composed of a data fidelity term and a regularization term. This is a typical configuration that commonly arises in ill-posed imaging inverse problems such as image reconstruction, denoising and inpainting.
The algorithm is based on a primal-dual formulation, which allows for simultaneous updates of primal and dual variables. By employing the proximal operator, the Chambolle-Pock algorithm efficiently handles non-smooth and non-convex regularization terms, such as the total variation, specific in imaging framework.
Problem statement
Let be two real vector spaces equipped with an inner product and a norm . From up to now, a function is called simple if its proximal operator has a closed-form representation or can be accurately computed, for , where is referred to
Consider the following constrained primal problem:
where is a bounded linear operator, are convex, lower semicontinuous and simple.
The minimization problem has its dual corresponding problem as
where and are the dual map of and , respectively.
Assume that the primal and the dual problems have at least a solution , that means they satisfies
where and are the subgradient of the convex functions and , respectively.
The Chambolle-Pock algorithm solves the so-called saddle-point problem
which is a primal-dual formulation of the nonlinear primal and dual problems stated before.
Algorithm
The Chambolle-Pock algorithm primarily involves iteratively alternating between ascending in the dual variable and descending in the primal variable using a gradient-like approach, with step sizes and respectively, in order to simultaneously solve the primal and the dual problem. Furthermore, an over-relaxation technique is employed for the primal variable with the parameter .
stopping criterion.
end do
Chambolle and Pock proved that the algorithm converges if and , sequentially and with as rate of convergence for the primal-dual gap. This has been extended by S. Banert et al. to hold whenever and .
The semi-implicit Arrow-Hurwicz method coincides with the particular choice of in the Chambolle-Pock algorithm.
Acceleration
There are special cases in which the rate of convergence has a theoretical speed up. In fact, if , respectively , is uniformly convex then , respectively , has a Lipschitz continuous gradient. Then, the rate of convergence can be improved to , providing a slightly changes in the Chambolle-Pock algorithm. It leads to an accelerated version of the method and it consists in c |
https://en.wikipedia.org/wiki/AI-assisted%20reverse%20engineering | AI-assisted reverse engineering (AIARE) is a branch of computer science that leverages artificial intelligence (AI), notably machine learning (ML) strategies, to augment and automate the process of reverse engineering. The latter involves breaking down a product, system, or process to comprehend its structure, design, and functionality. AIARE was primarily introduced in the early years of the 21st century, witnessing substantial advancements from the mid-2010s onwards.
Overview
Conventionally, reverse engineering is conducted by specialists who dismantle a system to grasp its working principles, often for the purposes of reproduction, modification, enhancement of compatibility, or forensic examination. This method, while efficient, can be laborious and time-intensive, particularly when dealing with intricate software or hardware systems.
AIARE integrates machine learning algorithms to either partially automate or augment this process. It is capable of detecting patterns, relationships, structures, and potential vulnerabilities within the analyzed system, frequently surpassing human experts in speed and accuracy. This has rendered AIARE a critical tool in numerous fields, including cybersecurity, software development, and hardware design and analysis.
Techniques
AIARE encompasses several AI methodologies:
Supervised learning
Supervised learning employs tagged data to train models to recognize system components, their operations, and their interconnections. This method is particularly helpful in software analysis to discover vulnerabilities or enhance compatibility.
Unsupervised learning
Unsupervised learning is utilized to detect concealed patterns and structures in untagged data. It proves beneficial in comprehending complex systems where there's no evident labeling or mapping of components.
Reinforcement learning
Reinforcement learning is employed to build models that progressively refine their system understanding through a process of trial and error. This method is often implemented when deciphering a system's functionality under various circumstances or configurations.
Deep learning
Deep learning is employed for analysis of high-dimensional data. For instance, deep learning techniques can aid in examining the layout and connections of integrated circuits (ICs), substantially reducing the manual effort required for reverse engineering.
References
Applications of artificial intelligence
Reverse engineering |
https://en.wikipedia.org/wiki/Kristine%20Sargsyan | Kristine Sargsyan (Armenian Քրիստինե Սարգսյան 12 December 2000) is an Armenian Painter.
Education
2015 - 2018 GYUMRI CRAFTSMAN SCHOOL N4 Computer Operator
2018 - 2022 Gyumri Branch Of Academy Of Fine Arts Armenia
Solo Exhibitions
2023 - Imaginary thoughts
Group Exhibitions
2019 - DIFFERENT WORLDS 2019 Krasnodar
2019 - 28th anniversary of the independence of the Republic of Armenia Gyumri
2020 - DIFFERENT WORLDS. DESIGN – 2020 Krasnodar
2020 - Exhibition of individual works Gyumri
2020 - Charity exhibition-sale Gyumri
2021 - Beyond the book Gyumri
2021 - F/5.6 Photo exhibition Gyumri
2022 - Cyanotype Gyumri
2023 - Flash exhbition
References
External links
Kristine Sargsyan youtube
Imaginary thoughts exhibition
Facebook
Armenian painters
Living people
2000 births |
https://en.wikipedia.org/wiki/Lockbit | LockBit is a cybercriminal group proposing ransomware as a service (RaaS). They use double extortion tactics where they not only encrypt the victim's data but also threaten to leak it if their demands are not met.
Description
LockBit has gained attention for its creation and use of the malware called "StealBit", which automates the exfiltration of data. This tool was introduced with the release of LockBit 2.0, which possess fast and efficient encryption capabilities. To expand their reach, LockBit also released Linux-ESXI Locker version 1.0, targeting Linux hosts, particularly ESXi servers.
LockBit's recruits affiliates and develops partnerships with other criminal groups. They hire network access brokers, cooperate with organizations like Maze, and recruit insiders from targeted companies. To attract talented hackers, they have sponsored underground technical writing contests.
LockBit has targeted various industries globally, however, healthcare and education sectors are the biggest victims. According to Trend Micro, in terms of attack attempts, United States, India and Brazil are the top targeted countries.
LockBit's impact and tactics demonstrate their efficiency and adaptability. They emphasize their malware's speed and capabilities to attract victims. They take external factors like data privacy laws into consideration when targeting potential victims. LockBit's success also relies heavily on their affiliate program, which helps them innovate and compete in the ransomware landscape. Additionally, their operations are expected to continue or even escalate in the future.
History
Lockbit malware was previously known as “.abcd”, after the file extension that was added to encrypted files as they were made inaccessible.
LockBit was first observed in September 2019.
LockBit 2.0
LockBit 2.0 appeared in 2021 and came into the spotlight with their attack on Accenture the same year, where an insider probably helped the group entering the network. LockBit published some of the stolen data from this attack.
In January 2022, the electronics group Thales was one of the victims of Lockbit 2.0.
In July 2022, the administrative and management services of La Poste Mobile were attacked.
In September 2022, the group's hackers claimed cyberattacks against 28 organizations, 12 of which involved French organizations. Among them, the Corbeil Essonnes hospital was targeted with a ransom demand of $10 million.
In October 2022, the Lockbit group claimed responsibility for an attack on Pendragon PLC, a group of automotive retailers in the UK. The ransom to decode the files and not reveal their contents is $60 million.
On October 31, 2022, the Lockbit hacker group claims to have attacked the Thales group for the second time. The Lockbit group does not demand a ransom, but displays a countdown ending on November 7, when the data will be released. The hacker group is offering assistance to Thales customers affected by the theft, in order to lodge a complaint |
https://en.wikipedia.org/wiki/Asant%C3%A9%20Technologies | Asanté Technologies, Inc., was an American computer networking equipment manufacturer active between 1988 and 2005. Founded in Sunnyvale, California, the company was for a time the market leader in networking products for Apple's line of Macintosh computers, providing hubs, switches, routers, and other equipment. The computer also dabbled in the PC-compatible and enterprise networking markets. Following a period of declining market share and stagnation between 1998 and 2005, the company was acquired by rival TechnoConcepts in 2005.
History
Foundation (1988–1991)
Asanté Technologies, Inc., was incorporated in 1988 from a small warehouse in Sunnyvale, California. The co-founders, Jeff Lin and Wilson Wong, had immigrated to California from Taiwan and Hong Kong in the 1960s, both graduating with electrical engineering degrees in the early 1970s. The two met in Mountain View, California, in 1983 at a Chinese-language Christian church and soon after found themselves working at the same computer networking equipment vendor in the city. Both shared a dream of starting their own networking companies and decided to quit their jobs to found Asanté. The name for the company derives from the French toast Santé (health), prefixed with an "A" to make the name appear higher in catalog listings for networking equipment manufacturers.
Lin and Wong set out the company to offer user-friendly products but had to first find a niche within the crowded market consumer networking peripherals. The two identified a gap in the market by honing in on Apple's line of Macintosh computers, which had lacked a robust range of Ethernet-based products that the IBM PC and compatibles were enjoying. With Ethernet connections, Mac-based local area networks (LANs) of the day could potentially reach bit rates than could be achieved with Apple's own LocalTalk. Rather than try to compete in the intensely crowded IBM PC compatible arena, the co-founders aimed for Asanté to be the market leader for Ethernet equipment for the Mac segment.
Asanté commenced operations as a contract manufacturer before marketing their own products. Shortly after its incorporation, the company found its first customer, who requested a rush delivery of an Ethernet networking product for final release before Christmas 1988. The company were able to deliver 2,000 units before the deadline; the success of the operation instilled confidence in the founders to carry on with their plans to formally launch the company. In April 1989, Asanté debuted their first commercial products, a series of Ethernet expansion boards for the Macintosh II. The company generated $94,000 in net revenues by the end of 1989. In 1990, during which the company employed only 11 people, Asanté released their first Ethernet hubs. During this early period, Asanté primarily targeted the educational sector, with universities accounting for 85 percent of their sales.
Market leadership in the Macintosh segment (1991–1995)
By 1991, Asanté had est |
https://en.wikipedia.org/wiki/Dawn%20C.%20Porter | Dawn Cheree Porter is an American expert on business statistics, business analytics, and econometrics, known for her textbooks on these subjects. She is professor of clinical data sciences and operations management in the USC Marshall School of Business, where she directs the master's degree program in business analytics and holds the Fubon Teaching Chair in Business Administration.
Education and career
Porter majored in mathematics at Cornell University, and then went to the New York University Stern School of Business for a master's degree and Ph.D. in statistics.
She worked as an assistant professor at Georgetown University from 2001 to 2006, before moving to the University of Southern California, as assistant professor of clinical data sciences in the USC Marshall School of Business. She was promoted to associate professor in 2011 and full professor in 2017. She has directed the master's program in business analytics under different names since 2013. At USC, she holds the Fubon Teaching Chair in Business Administration. She was recognized by a Marshall Teaching Excellence Award in 2023.
Books
Porter is a coauthor or major contributor to textbooks including:
Basic Econometrics (with Damodar N. Gujarati, 5th ed., McGraw-Hill, 2009)
Essentials of Econometrics (with Damodar N. Gujarati, McGraw-Hill, 2009)
Essentials of Business Statistics (with Richard O'Connell, J. Burdeane Orris, and Bruce Bowerman, 2nd ed., McGraw-Hill, 2007)
Business Statistics and Analytics in Practice (with Bruce L. Bowerman, Richard O'Connell, Richard T. O'Connell, Emily S. Murphree, and Steven C. Huchendorf, 9th ed., McGraw-Hill, 2018)
References
External links
Home page
Year of birth missing (living people)
Living people
American statisticians
American women statisticians
American economists
American women economists
Econometricians
Cornell University alumni
New York University Stern School of Business alumni
University of Southern California faculty |
https://en.wikipedia.org/wiki/Christmas%20with%20Delta | Christmas with Delta (retitled in 2021 as Christmas with Delta Goodrem to avoid confusion with the COVID-19 strain) is a Christmas special starring Delta Goodrem that premiered on Nine Network on 12 December 2020 to promote her Christmas album Only Santa Knows and presented by Tourism Australia.
Upon announcement in November 2020, Goodrem said "From drought to bushfires, floods and a global pandemic, 2020 has truly been a tough year for Aussies but it has not broken our spirit. Christmas holds a very special place in my heart, and I can't wait to celebrate our great nation's resilience through music and giving something back to the community during this holiday season."
Originally scheduled as a one-off, the special returned in 2021, 2022 and 2023.
Performances
All performances by Delta Goodrem, unless otherwise noted.
2020
The 2020 edition was filmed in Sydney Opera House and premiered on 12 December 2020.
"Carol of the Bells"
"Grown-Up Christmas List"
"Rudolph, the Red-Nosed Reindeer"
"Santa Baby" (with Robbie Williams)
"Have Yourself a Merry Little Christmas"/"White Christmas"/"Little Drummer Boy" (medley) (with Hugh Sheridan)
"We Need a Little Christmas" by Pentatonix
"Merry Christmas to You" (with Olivia Newton-John)
"All I Want for Christmas Is You" by Morgan Evans
"Rockin' Around the Christmas Tree " (with Sheppard)
"Only Santa Knows"
"River" (with Montaigne)
"When You Wish Upon a Star" (with Kylie Minogue)
"Santa Claus is Coming to Town" (with Kelly Rowland, Sheppard and Montaigne)
The 2020 was watched by 380,000 overnight metro viewers and was the most-popular entertainment program of the night.
2021
The 2021, edition was filmed in Sydney's Luna Park and premiered on 11 December 2021.
Upon announcement, Goodrem said "I'm so grateful to all the incredible artists and dear friends of mine from around the world who have joined me this year to bring to life our second Christmas special. A truly magical night full of festive cheer and holiday spirit, celebrating Christmas the Australian way."
"Carol of the Bells"
"Christmas (Baby Please Come Home)"
"Merry Christmas to You"
"Sleigh Ride" (with Gary Barlow)
"It's Beginning to Look a Lot Like Christmas" by Cody Simpson
"Rudolph the Red Nosed Reindeer"/”Frosty the Snowman" (with Harts)
"Jingle Bell Rock" (with Natalie Imbruglia)
"One Little Christmas Tree" (with Jason Arrow)
"Have Yourself a Merry Little Christmas" (with Craig David)
"Only Santa Knows"
"Christmas without You" by Sheppard
"I'll Be Home for Christmas"
"Silent Night" (with Paul Kelly and Mitch Tambo)
"How to Make Gravy" by Paul Kelly and Dan Kelly
"Amazing Grace" (with Andrea Bocelli)
"Happy Xmas (War Is Over)" (with guests)
2022
The 2022, edition was filmed at The Concourse, Sydney and premiered on 10 December 2022.
"Carol of the Bells"
"It’s the Most Wonderful Time of the Year"
"Last Christmas" (with Conrad Sewell)
"The Christmas Song" by Sam Fischer
"Sleigh Ride" (with Sister2Siste |
https://en.wikipedia.org/wiki/Anna%20Becker | Anna Becker is an Israeli researcher known in the field of artificial intelligence and computer science within the financial field.
Early life and education
Becker was born in Russia and immigrated to Israel at 16 after graduating from a school in Moscow. At 17, she began her studies at Technion – Israel Institute of Technology. During her master's degree in computer science, she taught first-year students of the same course, and at 27, Becker completed her PhD in Computer Science and Artificial Intelligence.
Career
While pursuing her PhD, Becker resolved an NP-complete approximation algorithm that had been unresolved for over twenty years. This made her a recognized scholar in the field. After completing her PhD, she developed an approximation technique by a factor of two. This technique is widely used today in operating systems, database systems, and VLSI chip designs.
She then founded and sold Strategy Runner, a fintech software. After this, she founded EndoTech, an algorithmic trading platform based on artificial intelligence and machine learning. As of 2023, Becker is working on Fianchetto Fund, an AI-based investing analysis platform.
Becker has also co-authored a book on Bayesian networks, which has been published widely in the field of computer science and artificial intelligence.
References
Computer scientists
Artificial intelligence people
1973 births
Living people |
https://en.wikipedia.org/wiki/65th%20Cyberspace%20Squadron | The 65th Cyberspace Squadron (8 CTS) is a United States Space Force unit responsible for defending the computer systems and networks used by Space Delta 5 and the Combined Space Operations Center against adversary actions in cyberspace. It was previously the 614th Air and Space Communications Squadron.
List of commanders
Lt Col Robert Thompson, ??? – 9 July 2013
Lt Col Timothy Ryan, 9 July 2013 – ???
Lt Col Jontae McGrew, ??? – 23 June 2021
Lt Col Jason Thompson, 23 June 2021 – 21 July 2023
Lt Col Jacob Majewski, 21 July 2023 – present
See also
Space Delta 6
References
External links
Military education and training in the United States
Squadrons of the United States Space Force |
https://en.wikipedia.org/wiki/Balakumar%20Balachandran | Balakumar "Bala" Balachandran is an Indian-American mechanician and applied mathematician recognized for his contributions to the fields of nonlinear dynamics, experimental methodologies, and data-driven approaches. He is a Minta Martin Professor and Distinguished University Professor at the University of Maryland, College Park, where he serves as Chair of the Department of Mechanical Engineering.
Balachandran has been recognized with the J.P. Den Hartog Award and the Lyapunov Award from the American Society of Mechanical Engineers for his lifetime contributions to these fields, and has published 3 books on vibrations and nonlinear dynamics.
Education and career
Bala Balachandran was born in the city of Nellore in Andhra Pradesh, India on February 4, 1963. He received his B.Tech. degree in Naval Architecture from the Indian Institute of Technology, Madras, India, in 1985, and his M.S. in Aerospace Engineering from the Virginia Polytechnic Institute and State University (now Virginia Tech) in 1986. He completed his Ph.D. in Engineering Mechanics from Virginia Polytechnic Institute and State University in 1990 under the guidance of Ali H. Nayfeh. In 1993 he became an Assistant Professor of Mechanical Engineering at the University of Maryland, where he received tenure in 1998 and was promoted to Full Professor in 2003. After serving as Associate Chair and Director of Graduate Studies from 2006 to 2010, and as Acting Chair from 2010-2011, he became Chair of the department in 2011. He was named a Minta Martin Professor in 2012 and Distinguished University Professor in 2022.
Research
Balachandran's research spans the fields of applied mathematics, applied physics, mechanics, dynamics, control, and system identification, with an emphasis on the analysis and application of nonlinear phenomena and nonlinear dynamics in diverse systems ranging from rotating machinery, vehicle systems, and space structures to disease dynamics.
Awards
Balachandran's contributions have been recognized with honors including the 2023 Pendray Literature Award from the American Institute of Aeronautics and Astronautics, the 2022 Robert H. Scanlan Medal from the American Society of Civil Engineers, the 2021 J.P. Den Hartog Award from the American Society of Mechanical Engineers, and the 2021 Lyapunov Award from the American Society of Mechanical Engineers. He is also a recipient of the 2016 Melville Award from the American Society of Mechanical Engineers, and the 2015 Hind Rattan Award bestowed by the NRI Welfare Society of India.
He is a member of diverse professional societies including the American Society of Mechanical Engineers, the American Society of Civil Engineers, and the American Institute of Aeronautics and Astronautics, the Royal Aeronautical Society, and the International Society for Nonlinear Dynamics. He is a Fellow of the American Society of Mechanical Engineers, American Institute of Aeronautics and Astronautics, and the Royal Aeronautical Society of t |
https://en.wikipedia.org/wiki/Fryday%20%28disambiguation%29 | Fryday is a social and business networking club for professionals.
Fryday may also refer to:
FryDay, a 2018 Indian dramedy film
Bob Fryday (1928–2007), Canadian ice hockey player
Nichola Fryday (born 1995), Irish rugby player
Robin Fryday, one of the producers of The Barber of Birmingham, a 2011 American documentary
See also
Friday (disambiguation)
Operation Fryday, a 2023 Indian Hindi-language film by Vishram Sawant, starring Sunil Shetty and Randeep Hooda |
https://en.wikipedia.org/wiki/Casper%20and%20the%20Ghostly%20Trio%20%28video%20game%29 | Casper and the Ghostly Trio is a 2006 platform game developed by Data Design Interactive and published by Blast! Entertainment. It is based on the Casper the Friendly Ghost character by Harvey Comics. The game only saw a release on the PlayStation 2 in the PAL region where it was unanimously panned by critics despite a low-key release.
Plot
The game finds Casper following the calamitous trail of his mischievous uncles The Ghostly Trio, who kidnapped Wendy the Good Little Witch to use her magic for evil, both of whom appear only in the final level.
Gameplay
Casper and the Ghostly Trio is an action-adventure platformer that has the player exploring 3-D environments, defeating monsters and collecting keys to progress to in the game. The game contains 6 levels and 5 bonus levels. Compared to previous games, this game does not have him flying, and Casper can instead perform a short-length glide to traverse over wide gaps.
Reception
The game saw a rare, limited release only in Europe and Australia, where it met with unanimously negative reception. Criticism stemmed from its controls, graphics, and "unfinished" state, with many critics wondering why it was made.
References
External links
2006 video games
Action-adventure games
Casper video games
PlayStation 2 games
Video games developed in the United Kingdom
Data Design Interactive games
Single-player video games
PlayStation 2-only games
Blast! Entertainment games |
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