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Ballie : It was first unveiled at Samsung's CES event in CES 2020, and later updated the design in CES 2024, and will be later released in 2025. |
Ballie : == References == |
Behavior selection algorithm : In artificial intelligence, a behavior selection algorithm, or action selection algorithm, is an algorithm that selects appropriate behaviors or actions for one or more intelligent agents. In game artificial intelligence, it selects behaviors or actions for one or more non-player characte... |
Behavior selection algorithm : In application programming, run-time selection of the behavior of a specific method is referred to as the strategy design pattern. |
Behavior selection algorithm : AI alignment Artificial intelligence detection software Cognitive model - all cognitive models exhibit behavior in terms of making decisions (taking action), making errors, and with various reaction times. Behavioral modeling, in systems theory Behavioral modeling in hydrology Behavioral ... |
Blocks world : The blocks world is a planning domain in artificial intelligence. The algorithm is similar to a set of wooden blocks of various shapes and colors sitting on a table. The goal is to build one or more vertical stacks of blocks. Only one block may be moved at a time: it may either be placed on the table or ... |
Blocks world : Artificial Intelligence can be researched in theory and with practical applications. The problem with most practical application is, that the engineers don't know how to program an AI system. Instead of rejecting the challenge at all the idea is to invent an easy to solve domain which is called a toy pro... |
Blocks world : Terry Winograd's SHRDLU Patrick Winston's Learning Structural Descriptions from Examples and Copy Demo Gerald Jay Sussman's Sussman anomaly Decision problem (Gupta and Nau, 1992): Given a starting Blocks World, an ending Blocks World, and an integer L > 0, is there a way to move the blocks to change the ... |
Blocks world : Media related to Blocks worlds (artificial intelligence) at Wikimedia Commons |
Alexey Chervonenkis : Alexey Yakovlevich Chervonenkis (Russian: Алексей Яковлевич Червоненкис; 7 September 1938 – 22 September 2014) was a Soviet and Russian mathematician. Along with Vladimir Vapnik, he was one of the main developers of the Vapnik–Chervonenkis theory, also known as the "fundamental theory of learning"... |
Alexey Chervonenkis : Chervonenkis' brief biography from the Computer Learning Research Centre, Royal Holloway. |
ChessMachine : The ChessMachine was a chess computer sold between 1991 and 1995 by TASC (The Advanced Software Company). It was unique at the time for incorporating both an ARM2 coprocessor for the chess engine on an ISA card which plugged into an IBM PC and a software interface running on the PC to display a chess boa... |
ChessMachine : Swedish Chess Computer Association (SSDF) - R30 entry Gideon on the Chessmachine Schachcomputer.info - The Wiki for chess computers (in German) |
ChipTest : ChipTest was a 1985 chess playing computer built by Feng-hsiung Hsu, Thomas Anantharaman and Murray Campbell at Carnegie Mellon University. It is the predecessor of Deep Thought which in turn evolved into Deep Blue. |
ChipTest : ChipTest was based on a special VLSI-technology move generator chip developed by Hsu. ChipTest was controlled by a Sun-3/160 workstation and capable of searching approximately 50,000 moves per second. Hsu and Anantharaman entered ChipTest in the 1986 North American Computer Chess Championship, and it was onl... |
ChipTest : Computer chess Deep Thought, the second in the line of chess computers developed by Feng-hsiung Hsu Deep Blue (chess computer), another chess computer developed by Feng-hsiung Hsu, being the first computer to win a chess match against the world champion |
ChipTest : Hsu, Feng-Hsiung (2002). Behind Deep Blue. Princeton: Princeton University Press. ISBN 0-691-09065-3. Newborn, Monroe (1997). Kasparov Versus Deep Blue. Berlin: Springer. ISBN 0-387-94820-1. |
ChipTest : The making of Deep Blue, overview, IBM Research |
CN2 algorithm : The CN2 induction algorithm is a learning algorithm for rule induction. It is designed to work even when the training data is imperfect. It is based on ideas from the AQ algorithm and the ID3 algorithm. As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ... |
CN2 algorithm : The algorithm must be given a set of examples, TrainingSet, which have already been classified in order to generate a list of classification rules. A set of conditions, SimpleConditionSet, which can be applied, alone or in combination, to any set of examples is predefined to be used for the classificati... |
CN2 algorithm : CN2 Algorithm Description |
Colossus (supercomputer) : Colossus is a supercomputer developed by xAI located in Memphis, Tennessee. It is believed to be the world's largest AI supercomputer. It operates a cluster of more than 200,000 interconnected Nvidia GPUs (graphics processing units). It is planned to eventually include more than 1 million GPU... |
Conference on Artificial General Intelligence : The Conference on Artificial General Intelligence (AGI) is a meeting of researchers in the field of Artificial General Intelligence organized by the AGI Society, steered by Marcus Hutter and Ben Goertzel. It has been held annually since 2008. The conference was initiated ... |
Conference on Artificial General Intelligence : AGI-2025 Reykjavík University, Reykjavík, Iceland AGI-2024 University of Washington, Seattle, Washington, USA AGI-2023 Stockholm, Sweden AGI-2022 The Crocodile, Seattle, Washington, USA AGI-2021 Computer History Museum, Mountain View, California, USA AGI-2020 Virtual Conf... |
Conference on Artificial General Intelligence : The conference has attracted many speakers over the years including Turing Award winners Yoshua Bengio and Richard S. Sutton as well as Ben Goertzel, Marcus Hutter, Jürgen Schmidhuber, Gary Marcus, John E. Laird, Peter Norvig, Joscha Bach, François Chollet, John L. Polloc... |
Conference on Artificial General Intelligence : Pei Wang and Ben Goertzel and Stan Franklin, ed. (2008). Proc. 1st Int. Conf. on Artificial General Intelligence (AGI). Amsterdam: IOS Press. ISBN 9781586038335. Ben Goertzel and Pascal Hitzler and Marcus Hutter, ed. (2009). Proc. 2nd Conf. on Artificial General Intellige... |
Conference on Artificial General Intelligence : AGI Conference website AGI-11 opening remarks, GoogleTechTalks on YouTube - Moshe Looks and Peter Norvig AGI-13 talks, presentations, and tutorials. Global AGI Conference |
Cuboid (computer vision) : In computer vision, the term cuboid is used to describe a small spatiotemporal volume extracted for purposes of behavior recognition. The cuboid is regarded as a basic geometric primitive type and is used to depict three-dimensional objects within a three dimensional representation of a flat,... |
Cuboid (computer vision) : Cuboids can be produced from both two-dimensional and three-dimensional images. One method used to produce cuboids utilizes scene understanding (SUN) primitive databases, which are collections of pictures that already contain cuboids. By sorting through SUN primitive databases with machine le... |
Cuboid (computer vision) : Cuboids are created for point cloud-based three-dimensional maps and can be utilized in various situations such as augmented reality, the automated control of cars, drones, and robots, and object detection. Cuboids allow for software to identify a scene through geometric descriptions in an “o... |
Daisy Intelligence : Daisy Intelligence is a Canadian artificial intelligence (AI) company that provides data analysis services to help retailers, mainly grocers and supermarkets, to determine optimal pricing and promotional mix. The company also helps insurance companies detect fraudulent claims. The company uses a su... |
DARPA AlphaDogfight : The DARPA AlphaDogfight was a 2019–2020 DARPA program that pitted computers using F-16 flight simulators against one another. The computers were managed by eight teams of humans, who competed in a single-round elimination for the right to battle a skilled human dogfighter. Heron Systems corporatio... |
Darwin machine : A Darwin machine (a 1987 coinage by William H. Calvin, by analogy to a Turing machine) is a machine that, like a Turing machine, involves an iteration process that yields a high-quality result, but, whereas a Turing machine uses logic, the Darwin machine uses rounds of variation, selection, and inherit... |
Darwin machine : Artificial life Artificial intelligence "Darwin among the Machines" Evolutionary computation Evolutionary algorithm Genetic algorithm Universal Darwinism |
Darwin machine : William H. Calvin (1987), "The brain as a Darwin Machine", Nature 330:33-34. William H. Calvin (1997) "The Six Essentials? Minimal Requirements for the Darwinian Bootstrapping of Quality," Journal of Memetics 1:1. George B. Dyson (1998), Darwin Among the Machines: The Evolution of Global Intelligence (... |
DAYDREAMER : DAYDREAMER is a goal-based agent and cognitive architecture developed at University of California, Los Angeles by Erik Mueller. It models the human stream of thought and its triggering and direction by emotions, as in human daydreaming. The architecture is implemented as 12,000 lines of Lisp code. |
DAYDREAMER : DAYDREAMER was begun by Erik Mueller in 1983 while he was studying under Michael G. Dyer in the UCLA Computer Science Department. It was completed in 1987 and was followed by the ThoughtTreasure program, which was started in 1993. |
DAYDREAMER : Intelligent agent Interactive storytelling |
DAYDREAMER : Further reading Mueller, Erik T. (1990). Daydreaming in humans and machines. Norwood, NJ: Ablex. ISBN 978-1478137269. Mueller, Erik T., & Dyer, Michael G. (1985). Towards a computational theory of human daydreaming. Proceedings of the Seventh Annual Conference of the Cognitive Science Society. Hillsdale, N... |
DAYDREAMER : DAYDREAMER code at GitHub DAYDREAMER code at CMU |
Deep Learning Studio : Deep Learning Studio is a software tool that aims to simplify the creation of deep learning models used in artificial intelligence. It is compatible with a number of open-source programming frameworks popularly used in artificial neural networks, including MXNet and Google's TensorFlow. Prior to ... |
Deep Learning Studio : Source: Deep Learning Studio is available in two versions: Desktop and Cloud, both of which are free software. The Desktop version is available on Windows and Ubuntu. The Cloud version is available in single-user and multi-user configurations. A Deep Cognition account is needed to access the Clou... |
Deep Learning Studio : Artificial intelligence Artificial neural network Data mining Deep learning Machine learning Predictive analytics |
Deep Learning Studio : Official website Official blog |
Defeasible logic : Defeasible logic is a non-monotonic logic proposed by Donald Nute to formalize defeasible reasoning. In defeasible logic, there are three different types of propositions: strict rules specify that a fact is always a consequence of another; defeasible rules specify that a fact is typically a consequen... |
Defeasible logic : Common sense Default logic |
Defeasible logic : D. Nute (1994). Defeasible logic. In Handbook of logic in artificial intelligence and logic programming, volume 3: Nonmonotonic reasoning and uncertain reasoning, pages 353–395. Oxford University Press. G. Antoniou, D. Billington, G. Governatori, and M. Maher (2001). Representation results for defeas... |
Department of Defense Directive 3000.09 : Department of Defense Directive 3000.09 is the current US policy on autonomous weapons. It states: "Autonomous … weapons systems shall be designed to allow commanders and operators to exercise appropriate levels of human judgment over the use of force." However, the policy requ... |
Ebert test : The Ebert test gauges whether a computer-based synthesized voice can tell a joke with sufficient skill to cause people to laugh. It was proposed by film critic Roger Ebert at the 2011 TED conference as a challenge to software developers to have a computerized voice master the inflections, delivery, timing,... |
Ebert test : Roger Ebert's appearance at TED conference 2011 |
European Conference on Artificial Intelligence : The biennial European Conference on Artificial Intelligence (ECAI) is the leading conference in the field of Artificial Intelligence in Europe, and is commonly listed together with IJCAI and AAAI as one of the three major general AI conferences worldwide. The conference ... |
European Conference on Artificial Intelligence : ECAI-1992 took place in Vienna, Austria. ECAI-1996 took place in Budapest, Hungary. ECAI-1998 tool place in Brighton, United Kingdom. ECAI-2000 took place in Berlin, Germany. ECAI-2004 took place in Valencia, Spain. ECAI-2006 took place in Riva del Garda, Italy. ECAI-200... |
European Association for Artificial Intelligence : The European Association for Artificial Intelligence (EurAI), formerly European Co-ordinating Committee for Artificial Intelligence (ECCAI), is the representative body for the European artificial intelligence community. |
European Association for Artificial Intelligence : EurAI was established in 1982. Founding president of EurAI was Wolfgang Bibel. The aim of EurAI is to promote the study, research and application of artificial intelligence (AI) in Europe. |
European Association for Artificial Intelligence : Every even-numbered year, EurAI, jointly with one of the member associations of EurAI, holds the European Conference on Artificial Intelligence (ECAI). The conference has become the leading conference for this field in Europe. The Artificial Intelligence Dissertation A... |
European Association for Artificial Intelligence : According to the association, EurAI Fellows program was created in order to "recognise individuals who have made significant, sustained contributions to the field of artificial intelligence (AI) in Europe." It has been in operation since 1999. |
Evolving classification function : Evolving classification functions (ECF), evolving classifier functions or evolving classifiers are used for classifying and clustering in the field of machine learning and artificial intelligence, typically employed for data stream mining tasks in dynamic and changing environments. |
Evolving classification function : Supervised Classification on Data Streams Evolving fuzzy rule-based Classifier (eClass ) Evolving Takagi-Sugeno fuzzy systems (eTS ) Evolving All-Pairs (ensembled) classifiers (EFC-AP ) Evolving Connectionist Systems (ECOS) Dynamic Evolving Neuro-Fuzzy Inference Systems (DENFIS) Evolv... |
Extremal Ensemble Learning : Extremal Ensemble Learning (EEL) is a machine learning algorithmic paradigm for graph partitioning. EEL creates an ensemble of partitions and then uses information contained in the ensemble to find new and improved partitions. The ensemble evolves and learns how to form improved partitions ... |
Extremal Ensemble Learning : A particular implementation of the EEL paradigm is the Reduced Network Extremal Ensemble Learning (RenEEL) scheme for partitioning a graph. RenEEL uses consensus across many partitions in an ensemble to create a reduced network that can be efficiently analyzed to find more accurate partitio... |
Fluent (artificial intelligence) : In artificial intelligence, a fluent is a condition that can change over time. In logical approaches to reasoning about actions, fluents can be represented in first-order logic by predicates having an argument that depends on time. For example, the condition "the box is on the table",... |
Fluent (artificial intelligence) : From a historical point of view, fluents were introduced in the context of qualitative reasoning. The idea is to describe a process model not with mathematical equations but with natural language. That means an action is not only determined by its trajectory, but with a symbolic model... |
Fluent (artificial intelligence) : Event calculus Fluent calculus Frame problem Situation calculus == References == |
Fuzzy rule : Fuzzy rules are used within fuzzy logic systems to infer an output based on input variables. Modus ponens and modus tollens are the most important rules of inference. A modus ponens rule is in the form Premise: x is A Implication: IF x is A THEN y is B Consequent: y is B In crisp logic, the premise x is A ... |
Fuzzy rule : As an example, consider a rule used to control a three-speed fan. A binary IF-THEN statement may be then IF temperature ≥ 30 THEN fan speed is 3 The disadvantage of this rule is that it uses a strict temperature as a threshold, but the user may want the fan to still function at this speed when temperature... |
Fuzzy rule : Rules can connect multiple variables through fuzzy set operations using t-norms and t-conorms. T-norms are used as an AND connector. For example, IF temperature is hot AND humidity is high THEN fan speed is fast The degree of truth assigned to temperature is hot and to humidity is high. The result of a t-n... |
Fuzzy rule : Fuzzy logic == References == |
Genetic and Evolutionary Computation Conference : The Genetic and Evolutionary Computation Conference (GECCO) is the premier conference in the area of genetic and evolutionary computation. GECCO has been held every year since 1999, when it was first established as a recombination of the International Conference on Gene... |
Genetic and Evolutionary Computation Conference : SIGEVO A list of links to all GECCO websites since 1999 |
Gibberlink : Gibberlink is a project, posted in GitHub, in which two conversational AI agents switch from speaking to one another in English to their own unique language that consists of a sound-level protocol after confirming they are both AI agents. The project was created by Boris Starkov and Anton Pidkuiko. |
Gibberlink : This project won the global top prize at the ElevenLabs Worldwide Hackathon. It has also been cited as highlighting concerns around AI, transparency, and the risks that this technology may carry. On February 23, 2025, a Youtube video of two independent conversational ElevenLabs AI agents being prompted to ... |
Gibberlink : Gibberish == References == |
Goal node (computer science) : In computer science, a goal node is a node in a graph that meets defined criteria for success or termination. Heuristical artificial intelligence algorithms, like A* and B*, attempt to reach such nodes in optimal time by defining the distance to the goal node. When the goal node is reache... |
Goal node (computer science) : N.J. Nilsson Principles of Artificial Intelligence (1982 Birkhäuser) p. 63 |
Golem (ILP) : Golem is an inductive logic programming algorithm developed by Stephen Muggleton and Cao Feng in 1990. It uses the technique of relative least general generalisation proposed by Gordon Plotkin, leading to a bottom-up search through the subsumption lattice. In 1992, shortly after its introduction, Golem wa... |
Golem (ILP) : Golem takes as input a definite program B as background knowledge together with sets of positive and negative examples, denoted E + and E − respectively. The overall idea is to construct the least general generalisation of E + with respect to the background knowledge. However, if B is not merely a fini... |
Golem (ILP) : The following example about learning definitions of family relations uses the abbreviations par: parent, fem: female, dau: daughter, g: George, h: Helen, m: Mary, t: Tom, n: Nancy, and e: Eve. It starts from the background knowledge (cf. picture) par ( h , m ) ∧ par ( h , t ) ∧ par ( g , m ) ∧ par ( t , e... |
Hierarchical classification : Hierarchical classification is a system of grouping things according to a hierarchy. In the field of machine learning, hierarchical classification is sometimes referred to as instance space decomposition, which splits a complete multi-class problem into a set of smaller classification prob... |
Hierarchical classification : Deductive classifier Cascading classifiers Faceted classification |
Hierarchical classification : Hierarchical Classification – a useful approach for predicting thousands of possible categories |
Hindsight optimization : Hindsight optimisation (HOP) is a computer science technique used in artificial intelligence for analysis of actions which have stochastic results. HOP is used in combination with a deterministic planner. By creating sample results for each of the possible actions from the given state (i.e. det... |
Hive (artificial intelligence company) : Hive is an American artificial intelligence company offering machine learning models via APIs to enterprise customers. Hive uses around 700,000 gig workers to train data for its models through its Hive Work app. One of Hive's major offerings is to provide automated content moder... |
Hive (artificial intelligence company) : Hive is reported to have been engaged to provide content moderation services to social news aggregator Reddit, Giphy, BeReal, Donald Trump-affiliated social network Truth Social, and on online chat website Chatroulette. Parler, after its shutdown by content service providers in ... |
Hive (artificial intelligence company) : Hive was founded by Kevin Guo and Dmitriy Karpman, and in April 2021, announced $85M in new capital at a valuation of $2 billion. == References == |
Ari Holtzman : Ari Holtzman is a professor of Computer Science at the University of Chicago and an expert in the area of Natural language processing and Computational linguistics. Previously, Holtzman was a PhD student at the University of Washington where he was advised by Luke Zettlemoyer. In 2017, he was a member of... |
Horovod (machine learning) : Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI). Horovod has the goal of improving the speed, scale, and resource allocation when training ... |
Horovod (machine learning) : Comparison of deep learning software Differentiable programming All-Reduce |
Horovod (machine learning) : Official website horovod on GitHub |
Ideogram (text-to-image model) : Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The model is capable of generating legible text in the images compared to other text-to-image models. |
Ideogram (text-to-image model) : Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. It was first released with its 0.1 model on August 22, 2023, after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowi... |
Inbenta : Inbenta is an AI company that originated in Barcelona, Spain, in 2005. Inbenta is currently headquartered in Allen, Texas, with additional offices in Spain, São Paulo, Brazil, Toulouse, France, and Tokyo, Japan. Inbenta provides natural language processing and semantic search through artificial intelligence. |
Inbenta : Inbenta raised $12 Million in their Series B funding round to extend the reach of their artificial intelligence for business solutions. In 2023 Inbenta's new chief executive officer Melissa Solis moved Inbenta's headquarters to One Bethany West in Allen, Texas from Foster City, California. |
Inbenta : On 23 June 2018, Ticketmaster UK identified malicious software on a customer support product hosted by Inbenta Technologies, compromising personal data and payment details for thousands of Ticketmaster customers. Three days later, Inbenta's CEO Issued a message about the incident to convey the full scope of t... |
Inbenta : Official website |
Innovation Center for Artificial Intelligence : The Innovation Center for Artificial Intelligence (ICAI) is a Dutch national network focused on joint technology development between academia, industry and government in the area of artificial intelligence (AI). The initiative was launched in April 2018 and is based at Am... |
Innovation Center for Artificial Intelligence : The ICAI network is linked to several collaborative labs: Thira Lab (Imaging): Thirona, Delft Imaging Systems and Radboud UMC, founded March 2019 AIMLab (AI for Medical Imaging): Uva and Inception Institute of Artificial Intelligence from the United Arab Emirates, founded... |
International Conference on Automated Planning and Scheduling : The International Conference on Automated Planning and Scheduling (ICAPS) is a leading international academic conference in automated planning and scheduling held annually for researchers and practitioners in planning and scheduling. ICAPS is supported by ... |
International Conference on Automated Planning and Scheduling : ICAPS conducts the International Planning Competition (IPC), a competition scheduled every few years that empirically evaluates state-of-the-art planning systems on a collection of benchmark problems. The Planning Domain Definition Language (PDDL) was deve... |
International Conference on Automated Planning and Scheduling : The ICAPS conferences began in 2003 as a merge of two bi-annual conferences, the International Conference on Artificial Intelligence Planning and Scheduling (AIPS) and the European Conference on Planning (ECP). |
International Conference on Automated Planning and Scheduling : International Planning Competition (IPC) Conference locations (ICAPS) Conference locations (DBLP) |
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