“Aja Huang”的意思、由来-开放百科全书

Aja Huang ({{zh|t=黃士傑|w=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]

References

1. ^¹{{cite web|url=http://big5.ftchinese.com/story/001075040|title=AlphaGo設計師黃士傑：「最強的學習技能在人類的腦袋裡」|publisher=Financial Times|date=14 November 2017|accessdate=7 December 2017|language=Chinese}}
2. ^¹²{{cite web|url=http://sports.sina.com.cn/go/2017-06-01/doc-ifyfuzym7534553.shtml|title=黄士杰博士远不止AlphaGo的人肉臂|publisher=Sina.com.cn|date=1 June 2017|accessdate=7 December 2017|language=Chinese}}
3. ^¹{{cite web|url=http://news.ifeng.com/a/20170607/51209558_0.shtml|title=独家专访“AlphaGo之手”黄士杰：机器是没有感情的，而我会微笑|publisher=Ifeng.com|date=7 June 2017|accessdate=7 December 2017|language=Chinese}}
4. ^{{cite web|url=http://tech.ifeng.com/a/20160314/41562439_0.shtml|title=AlphaGo的核心作者黄士杰：穿过狗的棋局的他的手|publisher=Ifeng.com|date=14 March 2016|accessdate=7 December 2017|language=Chinese}}
5. ^{{cite web|url=http://taiwan.huanqiu.com/article/2017-01/9911781.html|title=台湾导师：爱徒是阿尔法狗的总设计者|publisher=Huanqiu.com|date=6 January 2017|accessdate=7 December 2017|language=Chinese}}
6. ^{{Cite journal|title = Mastering the game of Go with deep neural networks and tree search|url = https://www.nature.com/nature/journal/v529/n7587/full/nature16961.html|journal = Nature| issn= 0028-0836|pages = 484–489|volume = 529|issue = 7587|doi = 10.1038/nature16961|pmid = 26819042|first1 = David|last1 = Silver|author-link1=David Silver (programmer)|first2 = Aja|last2 = Huang|first3 = Chris J.|last3 = Maddison|first4 = Arthur|last4 = Guez|first5 = Laurent|last5 = Sifre|first6 = George van den|last6 = Driessche|first7 = Julian|last7 = Schrittwieser|first8 = Ioannis|last8 = Antonoglou|first9 = Veda|last9 = Panneershelvam|first10= Marc|last10= Lanctot|first11= Sander|last11= Dieleman|first12=Dominik|last12= Grewe|first13= John|last13= Nham|first14= Nal|last14= Kalchbrenner|first15= Ilya|last15= Sutskever|author-link15=Ilya Sutskever|first16= Timothy|last16= Lillicrap|first17= Madeleine|last17= Leach|first18= Koray|last18= Kavukcuoglu|first19= Thore|last19= Graepel|first20= Demis |last20=Hassabis|author-link20=Demis Hassabis|date= 28 January 2016|bibcode = 2016Natur.529..484S|accessdate=10 December 2017}}{{closed access}}
7. ^{{cite journal |first1=David |last1=Silver|author-link1=David Silver (programmer)|first2= Julian|last2= Schrittwieser|first3= Karen|last3= Simonyan|first4= Ioannis|last4= Antonoglou|first5= Aja|last5= Huang|first6=Arthur|last6= Guez|first7= Thomas|last7= Hubert|first8= Lucas|last8= Baker|first9= Matthew|last9= Lai|first10= Adrian|last10= Bolton|first11= Yutian|last11= Chen|author-link11=Chen Yutian|first12= Timothy|last12= Lillicrap|first13=Hui|last13= Fan|author-link13=Fan Hui|first14= Laurent|last14= Sifre|first15= George van den|last15= Driessche|first16= Thore|last16= Graepel|first17= Demis|last17= Hassabis |author-link17=Demis Hassabis|url=https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html|title=Mastering the game of Go without human knowledge|journal=Nature|issn= 0028-0836|pages=354–359|volume =550|issue =7676|doi =10.1038/nature24270|date=19 October 2017|accessdate=10 December 2017}}{{closed access}}
8. ^{{cite web|url=https://www.wired.com/2016/03/googles-ai-viewed-move-no-human-understand/|title=How Google's AI Viewed the Move No Human Could Understand|publisher=Wired.com|date=14 March 2016|accessdate=7 December 2017}}