2017AlphaGo Master Defeats Ke Jie in Go

In May 2017, Google DeepMind's AlphaGo (version: Master) bea...
Timelines Logo
Year
2015
2016
2017
2019

🏆 AlphaGo Defeats Fan Hui in Go

Google DeepMind's AlphaGo (version: Fan) defeated three-time European Go champion 2 dan professional Fan Hui by 5 games to 0.
AlphaGo Defeats Fan Hui in Go (2015)
DeepMindAlphaGoGoGame PlayingArtificial IntelligenceMachine LearningComputer GamesFan Hui
FranceFrance

♟️ AlphaGo Defeats Lee Sedol in Go

Google DeepMind's AlphaGo (version: Lee) defeated Lee Sedol 4–1. Lee Sedol is a 9 dan professional Korean Go champion who won 27 major tournaments from 2002 to 2016.
AlphaGo Defeats Lee Sedol in Go (2016)
DeepMindAlphaGoGoGame PlayingArtificial IntelligenceMachine LearningLee SedolComputer Games
South KoreaSouth Korea

🥇 AlphaGo Master Defeats Ke Jie in Go

In May 2017, Google DeepMind's AlphaGo (version: Master) beat Ke Jie, who at the time continuously held the world No. 1 ranking for two years, winning each game in a three-game match during the Future of Go Summit.
AlphaGo Master Defeats Ke Jie in Go (2017)
DeepMindAlphaGoGoGame PlayingArtificial IntelligenceMachine LearningKe JieComputer Games
ChinaChina

🕹️ OpenAI Bot Competes in Dota 2 Tournament

An OpenAI bot using machine learning played at The International 2017 Dota 2 tournament in August 2017. It won during a 1v1 demonstration game against professional Dota 2 player Dendi.
OpenAI Bot Competes in Dota 2 Tournament (2017)
OpenAIDota 2Game PlayingArtificial IntelligenceMachine LearningComputer GamesEsports
SingaporeSingapore

🧠 AlphaGo Zero Achieves Superhuman Go Performance

Google DeepMind revealed that AlphaGo Zero—an improved version of AlphaGo—displayed significant performance gains while using far fewer tensor processing units (as compared to AlphaGo Lee; it used same amount of TPU's as AlphaGo Master). Unlike previous versions, which learned the game by observing millions of human moves, AlphaGo Zero learned by playing only against itself. The system then defeated AlphaGo Lee 100 games to zero, and defeated AlphaGo Master 89 to 11. Although unsupervised learning is a step forward, much has yet to be learned about general intelligence. AlphaZero masters chess in four hours, defeating the best chess engine, StockFish 8. AlphaZero won 28 out of 100 games, and the remaining 72 games ended in a draw.
AlphaGo Zero Achieves Superhuman Go Performance (2017)
DeepMindAlphaGoAlphaGo ZeroGoSelf-PlayReinforcement LearningGame PlayingArtificial IntelligenceMachine LearningUnsupervised Learning

🕹️ AlphaStar Reaches Grandmaster Level in StarCraft II

DeepMind's AlphaStar reaches Grandmaster level at StarCraft II, outperforming 99.8 percent of human players.
DeepMindAlphaStarStarCraft IIGame PlayingArtificial IntelligenceMachine LearningReinforcement LearningComputer GamesEsports