Aja Huang ( Chinese: 黃士傑; 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
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "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.
-
^
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.
-
^
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.
- ^ "How Google's AI Viewed the Move No Human Could Understand". Wired.com. 14 March 2016. Retrieved 7 December 2017.
| International | |
|---|---|
| National | |
Aja Huang ( Chinese: 黃士傑; 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
- ^ 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.
- ^ 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.
- ^ 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.
- ^ "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.
-
^
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.
-
^
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.
- ^ "How Google's AI Viewed the Move No Human Could Understand". Wired.com. 14 March 2016. Retrieved 7 December 2017.
| International | |
|---|---|
| National | |