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Elmo (shogi Engine)
Elmo, stylized as elmo (the name is a blend of ''elastic'' and ''monkey''), is a computer shogi evaluation function and book file ('' joseki'') created by Makoto Takizawa (). It is designed to be used with a third-party shogi alpha–beta search engine. Combined with the ''yaneura ou'' () search, Elmo became the champion of the 27th annual World Computer Shogi Championship () in May 2017. However, in the Den Ō tournament () in November 2017, Elmo was not able to make it to the top five engines losing to (1st), shotgun (2nd), ponanza (3rd), (4th), and Qhapaq_conflated (5th). In October 2017, DeepMind claimed that its program AlphaZero, after two hours of massively parallel training (700,000 steps or 10,300,000 games), began to exceed Elmo's performance. With a full nine hours of training (24 million games), AlphaZero defeated Elmo in a 100-game match, winning 90, losing 8, and drawing two. Elmo is free software that may be run on shogi engine interface GUIs such as Shogidoko ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Blend Word
In linguistics, a blend (sometimes called blend word, lexical blend, portmanteau or portmanteau word) is a word formed from parts of two or more other words. At least one of these parts is not a morph (the realization of a morpheme) but instead a mere ''splinter'', a fragment that is normally meaningless. In the words of Valerie Adams: In words such as ''motel, boatel'' and ''Lorry-Tel'', ''hotel'' is represented by various shorter substitutes – ''otel, tel'' or ''el'' – which I shall call splinters. Words containing splinters I shall call blends.Adams attributes the term ''splinter'' to J. M. Berman, "Contribution on blending," ''Zeitschrift für Anglistik und Amerikanistik'' 9 (1961), 278–281. Classification Blends of two or more words may be classified from each of three viewpoints: morphotactic, morphonological, and morphosemantic.Elisa Mattiello, "Blends." Chap. 4 (pp. 111–140) of ''Extra-grammatical Morphology in English: Abbreviations, Blends, Red ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Chess Opening Book (computers)
Opening book is often used to describe the database of chess openings given to Computer chess, computer chess programs (and related games, such as computer shogi). Such programs are quite significantly enhanced through the provision of an electronic version of an Chess opening book, opening book. This eliminates the need for the program to calculate the best lines during approximately the first ten moves of the game, where the positions are extremely open-ended and thus computationally expensive to evaluate. As a result, it places the computer in a stronger position using considerably less resources than if it had to calculate the moves itself. On some occasions, a player might consider playing a strange move outside the opening book to force a computer to think for itself. While this may introduce a strategic weakness, a lot of the time, playing out of the book early may end up compromising one's own pawn structure, losing a tempo or allow the opponent to develop more effectively ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
DeepMind
DeepMind Technologies is a British artificial intelligence subsidiary of Alphabet Inc. and research laboratory founded in 2010. DeepMind was List of mergers and acquisitions by Google, acquired by Google in 2014 and became a wholly owned subsidiary of Alphabet Inc., Alphabet Inc, after Google's restructuring in 2015. The company is based in London, with research centres in Canada, France, and the United States. DeepMind has created a neural network that learns how to play video games in a fashion similar to that of humans, as well as a Neural Turing machine, or a neural network that may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the human brain. DeepMind made headlines in 2016 after its AlphaGo program beat a human professional Go (game), Go player Lee Sedol, a world champion, in AlphaGo versus Lee Sedol, a five-game match, which was the subject of a documentary film. A more general progr ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AlphaZero
AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint introducing AlphaZero, which within 24 hours of training achieved a superhuman level of play in these three games by defeating world-champion programs Stockfish, elmo, and the three-day version of AlphaGo Zero. In each case it made use of custom tensor processing units (TPUs) that the Google programs were optimized to use. AlphaZero was trained solely via self-play using 5,000 first-generation TPUs to generate the games and 64 second-generation TPUs to train the neural networks, all in parallel, with no access to opening books or endgame tables. After four hours of training, DeepMind estimated AlphaZero was playing chess at a higher Elo rating than Stockfish 8; after nine hours of training, the algorithm defeated Stockf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
David Silver (programmer)
David Silver (born 1976) is a British computer scientist and businessman who leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar (software), AlphaStar. Education He graduated from the University of Cambridge in 1997 with the Addison-Wesley award, and befriended Demis Hassabis whilst there. Silver returned to academia in 2004 at the University of Alberta to study for a PhD on reinforcement learning, where he co-introduced the algorithms used in the first master-level 9×9 Go programs and graduated in 2009. His version of program ''MoGo'' (co-authored with Sylvain Gelly) was one of the strongest Go programs as of 2009. Career After graduating from university, Silver co-founded the video games company Elixir Studios, where he was CTO and lead programmer, receiving several awards for technology and innovation. Silver was awarded a Royal Society University Research Fellowship in 2011, and subsequently ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dharshan Kumaran
Dharshan Kumaran (born 7 June 1975) is an English chess grandmaster who has retired from ranked tournaments and is a neuroscience researcher collaborating with leaders in that field. He won the World Under-12 Championship in 1986, won the World Under-16 Championship in 1991. He finished 3rd equal in the World Under-20 Championship in 1994 and competed in the highest level competitions as recently as 2001. He works as a neuroscientist, specialising in research at DeepMind, an inter-body collaboration led by University College London. He has authored (mostly co-authored) 75 articles in this field as noted in Google scholar's library of papers in neuroscience (between 2003 and 2022). The most cited of these, namely by more than 20,000 articles, is '"Human-level control through deep reinforcement learning" which he co-authored in 2015 with others including V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness and MG Bellemare, a 4-page article in ''Nature Nature, in the br ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Demis Hassabis
Demis Hassabis (born 27 July 1976) is a British artificial intelligence researcher and entrepreneur. In his early career he was a video game AI programmer and designer, and an expert player of board games. He is the chief executive officer and co-founder of DeepMind and Isomorphic Labs, and a UK Government AI Advisor. Early life and education Hassabis was born to a Greek Cypriot father and a Chinese Singaporean mother and grew up in North London. A child prodigy in chess from the age of 4, Hassabis reached master standard at the age of 13 with an Elo rating of 2300 and captained many of the England junior chess teams. He represented the University of Cambridge in the Oxford-Cambridge varsity chess matches of 1995, 1996 and 1997, winning a half blue. Hassabis was briefly home-schooled by his parents, during which time he bought his first computer, a ZX Spectrum 48K funded from chess winnings, and taught himself how to program from books. He went on to be educated at Christ ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Castle (shogi)
In shogi, castles ( ja, 囲い, translit=kakoi) are strong defensive configurations of pieces that protect the king ( ja, 玉). In contrast to the special castling move in western chess, shogi castles are structures that require making multiple individual moves with more than one piece. Introduction Usually the pieces involved in constructing castles are golds ( ja, 金), silvers ( ja, 銀), and pawns ( ja, 歩). Typically, they also require moving the king from its starting position – often to the left or right side of the board. The simplest castle involves two pieces and requires three moves, but it is more common to move at least three different pieces. For example, a simple Mino castle requires moving the king, the rook ( ja, 飛), a silver, and two golds for a total of six moves. Others such as the Static Rook Bear-in-the-hole castle are more complex, which requires moving the king, a pawn, the bishop ( ja, 角), a lance ( ja, 香), a silver, and two golds for a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Professional Shogi Player
A professional shogi player (将棋棋士 ''shōgi kishi'' or プロ棋士 ''puro kishi'' "professional player") is a shogi player who is usually a member of a professional guild of shogi players. There are two categories of professional players: regular professional and women's professional. All regular professional shogi players are members of the Japan Shogi Association (JSA). However, only regular professional players, who are all male, are considered to be full-fledged members. Women's professional players belong to groups distinct from regular professional players. In Japanese, the term 棋士 ''kishi'' only refers to regular professional players to the exclusion of women's professionals, who are termed 女流棋士 ''joryū kishi.'' History During the Edo period (1603-1868), shogi followed an iemoto system centered around three families (schools): the , the and the . Titles such as Meijin were hereditary and could only be held by members of these three families. These ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
