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Aja Huang

From Wikipedia, the free encyclopedia
"Huang Shih-chieh" redirects here. For the Taiwanese politician, seeHuang Hsin-chieh. For the Taiwanese politician, seeHuang Shih-chieh (politician).
Taiwanese computer scientist

Aja Huang (Chinese:黃士傑;pinyin:Huáng Shìjié;Wade–Giles:Huang Shih-chieh; born 1978) is a Taiwanese computer scientist and expert onartificial intelligence. He works forDeepMind and was a member of theAlphaGo project.

Born in 1978,[1] Huang received a bachelor's degree fromNational Chiao Tung University in 2001, a master's degree fromNational Taiwan Normal University in 2003, and a Ph.D degree from National Taiwan Normal University in 2011.[2] One of his doctoral supervisors wasRémi Coulom.[3][4] He began to developcomputer Go program Erica in 2004,[citation needed] which became the champion in the 2010Computer Olympiad.[2]

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 onAlphaGo Fan in 2016[5] and a major author of the paper onAlphaGo Zero in 2017.[6] During the 2016 matchAlphaGo v. Lee Sedol and the 2017Future of Go Summit, Huang placed stones on the Go board for AlphaGo.[1][7]

References

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  1. ^ab"AlphaGo設計師黃士傑:「最強的學習技能在人類的腦袋裡」" (in Chinese).Financial Times. 14 November 2017. Retrieved7 December 2017.
  2. ^abc"黄士杰博士 远不止AlphaGo的人肉臂" (in Chinese).Sina.com.cn. 1 June 2017. Retrieved7 December 2017.
  3. ^ab"独家专访"AlphaGo之手"黄士杰:机器是没有感情的,而我会微笑" (in Chinese).Ifeng.com. 7 June 2017. Retrieved7 December 2017.
  4. ^"AlphaGo的核心作者黄士杰:穿过狗的棋局的他的手" (in Chinese).Ifeng.com. 14 March 2016. Retrieved7 December 2017.
  5. ^Silver, David; Huang, Aja; Maddison, Chris J.; Guez, Arthur; Sifre, Laurent; Driessche, George van den; Schrittwieser, Julian; Antonoglou, Ioannis; Panneershelvam, Veda; Lanctot, Marc; Dieleman, Sander; Grewe, Dominik; Nham, John; Kalchbrenner, Nal;Sutskever, Ilya; Lillicrap, Timothy; Leach, Madeleine; Kavukcuoglu, Koray; Graepel, Thore;Hassabis, Demis (28 January 2016). "Mastering the game of Go with deep neural networks and tree search".Nature.529 (7587):484–489.Bibcode:2016Natur.529..484S.doi:10.1038/nature16961.ISSN 0028-0836.PMID 26819042.S2CID 515925.Closed access icon
  6. ^Silver, David; Schrittwieser, Julian; Simonyan, Karen; Antonoglou, Ioannis; Huang, Aja; Guez, Arthur; Hubert, Thomas; Baker, Lucas; Lai, Matthew; Bolton, Adrian;Chen, Yutian; Lillicrap, Timothy;Fan, Hui; Sifre, Laurent; Driessche, George van den; Graepel, Thore;Hassabis, Demis (19 October 2017)."Mastering the game of Go without human knowledge"(PDF).Nature.550 (7676):354–359.Bibcode:2017Natur.550..354S.doi:10.1038/nature24270.ISSN 0028-0836.PMID 29052630.S2CID 205261034.Closed access icon
  7. ^"How Google's AI Viewed the Move No Human Could Understand".Wired.com. 14 March 2016. Retrieved7 December 2017.
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