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AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google.Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3]
On 4 January 2017, after these games were completed, Demis Hassabis, the co-founder of DeepMind, confirmed that Magister and Master both played using an updated version of AlphaGo [8] [9] and said, "We're looking forward to playing some official, full-length games later [in 2017] in collaboration with Go organizations and experts".
AlphaGo Zero is a version of DeepMind's Go software AlphaGo.AlphaGo's team published an article in Nature in October 2017 introducing AlphaGo Zero, a version created without using data from human games, and stronger than any previous version. [1]
[10] [note 1] AlphaZero was trained on chess for a total of nine hours before the match. During the match, AlphaZero ran on a single machine with four application-specific TPUs . In 100 games from the normal starting position, AlphaZero won 25 games as White, won 3 as Black, and drew the remaining 72. [ 11 ]
Grand Theft Auto V is a 2013 action-adventure game developed by Rockstar North and published by Rockstar Games.It is the seventh main entry in the Grand Theft Auto series, following 2008's Grand Theft Auto IV, and the fifteenth instalment overall.
Huang joined DeepMind in 2012 and became a member of AlphaGo project in 2014. [2] [3] He is one of the first authors of DeepMind's paper on AlphaGo Fan in 2016 [5] and a major author of the paper on AlphaGo Zero in 2017. [6] During the 2016 match AlphaGo v. Lee Sedol and the 2017 Future of Go Summit, Huang placed stones on the Go board for ...
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Fine Art (Chinese: 绝艺; pinyin: Jué Yì) is a Go-playing computer program created by Chinese media company Tencent.. Development reportedly started [1] in early 2016, around the time AlphaGo's successes, first against Fan Hui and later against Lee Sedol, showed that deep-learning neural networks combined with Monte Carlo algorithms were effective in computer Go.