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Aja Huang (Chinese: 黃士傑; 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 degree from National Chiao Tung University in 2001, a master 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 supervisor was Rémi Coulom.[3][4] He began to develop computer Go program Erica in 2004,[5] 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[6] and a major author of the paper on AlphaGo Zero in 2017.[7] 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][8]

ReferencesEdit

  1. ^ a b "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. Retrieved 7 December 2017.
  2. ^ a b c "黄士杰博士 远不止AlphaGo的人肉臂" (in Chinese). Sina.com.cn. 1 June 2017. Retrieved 7 December 2017.
  3. ^ a b "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. Retrieved 7 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. Retrieved 7 December 2017.
  5. ^ "台湾导师:爱徒是阿尔法狗的总设计者" (in Chinese). Huanqiu.com. 6 January 2017. Retrieved 7 December 2017.
  6. ^ 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. Retrieved 10 December 2017. 
  7. ^ 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". Nature. 550 (7676): 354–359. doi:10.1038/nature24270. ISSN 0028-0836. Retrieved 10 December 2017. 
  8. ^ "How Google's AI Viewed the Move No Human Could Understand". Wired.com. 14 March 2016. Retrieved 7 December 2017.