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Aja Huang

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"Huang Shih-chieh" redirects here. For the Taiwanese politician, see Huang Hsin-chieh.

Aja Huang (Chinese: 黃き士し傑すぐる; pinyin: Huáng Shìjié; Wade–Giles: Huang Shih-chieh; born 1978) is a Taiwanese computer scientist and expert on artificial intelligence. He works for DeepMind and was a member of the AlphaGo project.

Born in 1978,[1] Huang received a bachelor's degree from National Chiao Tung University in 2001, a master's degree from National Taiwan Normal University in 2003, and a Ph.D degree from National Taiwan Normal University in 2011.[2] One of his doctoral supervisors was Rémi Coulom.[3][4] He began to develop computer Go program Erica in 2004,[citation needed] which became the champion in the 2010 Computer 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 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 AlphaGo.[1][7]

References

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  1. ^ a b "AlphaGo設計せっけい師し黃き士し傑すぐる：「最強さいきょう的てき學習がくしゅう技能ぎのう在ざい人類じんるい的てき腦のう袋ぶくろ裡うら」" (in Chinese). Financial Times. 14 November 2017. Retrieved 7 December 2017.
  2. ^ a b c "黄き士し杰博士はかせ 远不止とめAlphaGo的てき人じん肉にく臂ひじ" (in Chinese). Sina.com.cn. 1 June 2017. Retrieved 7 December 2017.
  3. ^ a b "独どく家か专访"AlphaGo之の手て"黄き士し杰：机つくえ器き是ぜ没ぼつ有ゆう感情かんじょう的てき，而我会かい微笑びしょう" (in Chinese). Ifeng.com. 7 June 2017. Retrieved 7 December 2017.
  4. ^ "AlphaGo的てき核心かくしん作者さくしゃ黄き士し杰：穿ほじ过狗的てき棋局的てき他た的てき手て" (in Chinese). Ifeng.com. 14 March 2016. Retrieved 7 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. Retrieved 7 December 2017.
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