Changes

Jump to: navigation, search

Timeline of AlphaGo

98 bytes added, 07:04, 12 June 2019
no edit summary
| 2015 || October || Achievement || The original AlphaGo becomes the first {{w|computer Go}} program to beat a human {{w|professional Go player}} without [[w:Go handicaps|handicaps]] on a full-sized 19&times;19 board.<ref name="googlego">{{cite web |url=http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html|title=Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning |date=27 January 2016 |work=Google Research Blog}}</ref><ref name="bbcgo" />
|-
| 2015 || October || Game series release || Fan Hui versus AlphaGo game play is released in v13 version13. It consists of five games.<ref name="Alphago's Games"/>
|-
| 2016 || January 28 || Research || AlphaGo's team publishes an article in the journal ''[[w:Nature (journal)|Nature]]'', describing the technical details behind the {{w|reinforcement learning}} approach used in AlphaGo.<ref name="The story of AlphaGo so far">{{cite web |title=The story of AlphaGo so far |url=https://deepmind.com/research/alphago/ |website=deepmind.com |accessdate=23 May 2019}}</ref>
|-
| 2016 || February || Game series release || AlphaGo versus AlphaGo is released in v18 version18. It consists of three games.<ref name="Alphago's Games"/>
|-
| 2016 || March || Achievement || {{w|AlphaGo versus Lee Sedol}} takes place as a five-game [[w:Go (game)|Go]] match between 18-time world champion {{w|Lee Sedol}} and {{w|AlphaGo}}. Played in {{w|Seoul}}, South Korea between 9 and 15 March 2016, AlphaGo wins all but the fourth game.<ref name="BBC News 13 March 2016">{{cite web | title= Artificial intelligence: Go master Lee Se-dol wins against AlphaGo program |url= https://www.bbc.co.uk/news/technology-35797102| author=<!--Staff writer; no by-line.-->|date= 13 March 2016| website= {{w|BBC News Online}} | accessdate= 13 March 2016 }}</ref> This is the first time a computer Go program beats a [[w:Go ranks and ratings|9-dan]] professional without handicaps.<ref name="leesedolwin">{{cite web |url=https://www.youtube.com/watch?v=vFr3K2DORc8&t=1h57m |title=Match 1 – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo |date=8 March 2016}}</ref><ref>{{cite web |title=DeepMind’s AlphaGo Zero Becomes Go Champion Without Human Input |url=https://futureoflife.org/2017/10/18/deepminds-alphago-zero-becomes-go-champion-without-human-assistance/?cn-reloaded=1 |website=futureoflife.org |accessdate=5 April 2019}}</ref><ref>{{cite web |title=AI: How big a deal is Google's latest AlphaGo breakthrough? |url=https://www.techrepublic.com/article/ai-how-big-a-deal-is-googles-latest-alphago-breakthrough/ |website=techrepublic.com |accessdate=5 April 2019}}</ref><ref name="AlphaGov">{{cite web |title=AlphaGo |url=https://www.britgo.org/alphago |website=britgo.org |accessdate=5 April 2019}}</ref> The match is watched by over 200 million people worldwide.<ref name="AlphaGo China"/>
|-
| 2016 || March || Game series release || Lee Sedol versus AlphaGo game play is released on v18 version18. It consists of five games.<ref name="Alphago's Games"/>
|-
| 2016 || May || Hardware development || Google unveils its own proprietary hardware "{{w|tensor processing unit}}s". The company states having already deployed this hardware in multiple internal projects, including the AlphaGo match against {{w|Lee Sedol}}.<ref>{{cite news|last1=McMillan|first1=Robert|title=Google Isn’t Playing Games With New Chip|url=https://www.wsj.com/articles/google-isnt-playing-games-with-new-chip-1463597820|accessdate=21 May 2019|work={{w|Wall Street Journal}}|date=18 May 2016}}</ref><ref>{{cite web|url=https://cloudplatform.googleblog.com/2016/05/Google-supercharges-machine-learning-tasks-with-custom-chip.html|title=Google supercharges machine learning tasks with TPU custom chip|last=Jouppi|first=Norm|date=May 18, 2016|website=Google Cloud Platform Blog|language=en-US|access-date=21 May 2019}}</ref>
| 2016 || October 12 || Research || DeepMind publishes a paper on {{w|differentiable neural computers}}, which demonstrates that models that can simultaneously learn like neural networks as well as memorize data like computers.<ref name="DeepMind’s work in 2016: a round-up">{{cite web |title=DeepMind’s work in 2016: a round-up |url=https://deepmind.com/blog/deepmind-round-up-2016/ |website=deepmind.com |accessdate=23 May 2019}}</ref><ref>{{cite journal |last1=Graves |first1=Alex |last2=Wayne |first2=Greg |last3=Reynolds |first3=Malcolm |last4=Harley |first4=Tim |last5=Danihelka |first5=Ivo |last6=Grabska-Barwińska |first6=Agnieszka |last7=Gómez Colmenarejo |first7=Sergio |last8=Grefenstette |first8=Edward |last9=Ramalho |first9=Tiago |last10=Agapiou |first10=John |last11=Puigdomènech Badia |first11=Adrià |last12=Moritz Hermann |first12=Karl |last13=Zwols |first13=Yori |last14=Ostrovski |first14=Georg |last15=Cain |first15=Adam |last16=King |first16=Helen |last17=Summerfield |first17=Christopher |last18=Blunsom |first18=Phil |last19=Kavukcuoglu |first19=Koray |last20=Hassabis |first20=Demis |title=Hybrid computing using a neural network with dynamic external memory |journal=Nature |url=https://www.nature.com/articles/nature20101 |accessdate=23 May 2019}}</ref>
|-
| 2016 || December || Game series release || AlphaGo Online Series on Tygem and Fox game play is released on [[w:Master (software)|AlphaGo Master]] version. It consists of sixty games.<ref name="Alphago's Games"/>
|-
| 2017 || January || Achievement || Under the pseudonym "Master", AlphaGo plays several of the world's top players in a series of online matches, winning all 60 of its completed contests.<ref>{{cite web |title=AN IMPROVED ALPHAGO WINS ITS FIRST GAME AGAINST THE WORLD'S TOP GO PLAYER |url=https://www.wired.com/2017/05/revamped-alphago-wins-first-game-chinese-go-grandmaster/ |website=wired.com |accessdate=5 April 2019}}</ref><ref>{{cite web |title=DeepMind’s AI beats world's best Go player in latest face-off |url=https://www.newscientist.com/article/2132086-deepminds-ai-beats-worlds-best-go-player-in-latest-face-off/ |website=newscientist.com |accessdate=5 April 2019}}</ref><ref name="Alphago's Games"/>
| 2017 || May || International meeting || The {{w|Future of Go Summit}} is held by the {{w|Chinese Go Association}}, Sport Bureau of Zhejiang Province and {{w|Google}} in {{w|Wuzhen}}, {{w|Zhejiang}}, the permanent host of the {{w|World Internet Conference}}. It features five [[w:Go (game)|Go]] games involving {{w|AlphaGo}} and top Chinese Go players,<ref>{{cite web|url=https://deepmind.com/blog/exploring-mysteries-alphago/|title=Exploring the mysteries of Go with AlphaGo and China's top players|publisher={{w|DeepMind}}|date=10 April 2017|accessdate=21 May 2019}}</ref> as well as a forum on the future of {{w|artificial intelligence}}.<ref>{{cite web|url=https://www.wired.co.uk/article/deepmind-go-alphago-china-may-2017|title=DeepMind's AlphaGo is back..and this time it's taking on five humans at once|publisher={{w|Wired.com}}|date=10 April 2017|accessdate=21 May 2019}}</ref><ref name="AlphaGo China">{{Cite web|url=https://deepmind.com/research/alphago/alphago-china/|title=AlphaGo China {{!}} DeepMind|website=DeepMind|access-date=21 May 2019}}</ref><ref name="Alphago's Games"/>
|-
| 2017 || May || Game series release || Future of Go Summit game play is released on AlphaGo Master version. It consists of five games.<ref name="Alphago's Games"/>
|-
| 2017 || May || Game series release || AlphaGo versus AlphaGo Batch 1 to 5 game plays are released on AlphaGo Master version. Each series consisis of ten games.<ref name="Alphago's Games"/>
|-
| 2017 || May 24 || Achievement || AlphaGo defeats Chinese Go world champion {{w|Ke Jie}} in a second, decisive win of a three-part series taking place in China.<ref>{{cite web |last1=Russell |first1=Jon |title=Google’s AlphaGo AI wins three-match series against the world’s best Go player |url=https://techcrunch.com/2017/05/24/alphago-beats-planets-best-human-go-player-ke-jie/ |website=techcrunch.com |accessdate=31 May 2019}}</ref><ref>{{cite web |title=Google AI defeats human Go champion |url=https://www.bbc.com/news/technology-40042581 |website=bbc.com |accessdate=31 May 2019}}</ref>
|-
| 2017 || July || Game series release || WeiQi TV-5 Extra Games game play is released on AlphaGo Master version. It consists of five games.<ref name="Alphago's Games"/>
|-
| 2017 || September 29 || || The AlphaGo documentary film is released.<ref>{{cite web|url=https://www.rottentomatoes.com/m/alphago/ |title=AlphaGo (2017) |publisher=Rotten Tomatoes |date= |accessdate=23 May 2019}}</ref>
| 2017 || October || || It is announced that {{w|AlphaGo Zero}}, armed with just the rules, has in 40 days become even better at Go than the original AlphaGo, without the help of game records.<ref name="AlphaGov"/>
|-
| 2017 || October || Game series release || AlphaGo Zero (20 Blocks) vs AlphaGo Lee game play is released on AlphaGo Zero version. It consists of twenty games.<ref name="Alphago's Games"/>
|-
| 2017 || October || Game series release || AlphaGo Zero vs AlphaGo Zero - 20 Blocks game play is released on AlphaGo Zero version. It consists of twenty games.<ref name="Alphago's Games"/>
|-
| 2017 || October || Game series release || AlphaGo Zero vs AlphaGo Zero - 40 Blocks game play is released on AlphaGo Zero version. It consists of twenty games.<ref name="Alphago's Games"/>
|-
| 2017 || October || Game series release || AlphaGo Zero (40 Blocks) vs AlphaGo Master game play is released in AlphaGo Zero version. It consists of twenty games.<ref name="Alphago's Games">{{cite web |title=AlphaGo's Games |url=https://www.alphago-games.com/ |website=alphago-games.com |accessdate=21 May 2019}}</ref>
|-
| 2017 || December 5 || Software release || The DeepMind team releases a preprint on {{w|arXiv}}, introducing AlphaZero, a program using generalized AlphaGo Zero's approach, which achieved within 24 hours a superhuman level of play in {{w|chess}}, {{w|shogi}}, and [[w:Go (game)|Go]], defeating world-champion programs, [[w:Stockfish (chess)|Stockfish]], [[w:Elmo (shogi engine)|Elmo]], and 3-day version of AlphaGo Zero in each case.<ref name="preprint"/>
62,754
edits

Navigation menu