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| 2014 || The AlphaGo research project is formed.
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| Since 2015 < || AlphaGo starts defeating human professional Go players. Earlier, computers were only known to have played Go at the “amateur” level.<ref name="Why DeepMind AlphaGo Zero is a game changer for AI research">{{cite web |title=Why DeepMind AlphaGo Zero is a game changer for AI research |url=https://hub.packtpub.com/deepmind-alphago-zero-game-changer-for-ai-research/ |website=hub.packtpub.com |accessdate=5 June 2019}}</ref>
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| 2016 || AlphaGo victory in March becomes a major milestone in artificial intelligence research,<ref name="latimes milestone">{{cite news|author1=Steven Borowiec|author2=Tracey Lien|title=AlphaGo beats human Go champ in milestone for artificial intelligence|url=http://www.latimes.com/world/asia/la-fg-korea-alphago-20160312-story.html|accessdate=13 March 2016|work={{w|Los Angeles Times}}|date=12 March 2016}}</ref> with Go having being previously been regarded as a hard problem in {{w|machine learning}} expected to be out of reach for the technology of the time.<ref name="latimes milestone" /><ref>{{cite news |title=A computer has beaten a professional at the world's most complex board game |url=https://www.independent.co.uk/life-style/gadgets-and-tech/news/google-alphago-computer-beats-professional-at-worlds-most-complex-board-game-go-a6837506.html |newspaper={{w|The Independent}} |access-date=21 May 2019 |date=27 January 2016 |last=Connor |first=Steve}}</ref><ref>{{cite news |title=Google's AI beats human champion at Go |url=http://www.cbc.ca/news/technology/alphago-ai-1.3422347 |work={{w|CBC News}} |access-date=21 May 2019 |date=27 January 2016}}</ref>
