AlphaGo versus Fan Hui was a five-game Go match between European champion Fan Hui, a 2-dan (out of 9 dan possible) professional, and AlphaGo, a computer Go program developed by DeepMind, held at DeepMind's headquarters in London in October 2015.
[2][3] This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap.
"[6] In this match, DeepMind used AlphaGo's distributed version with 1,202 CPUs and 176 GPUs[5] with Elo rating 3,144.
[5] Although the white stones at the lower-left corner could have been captured if black 135 had been placed at "a", AlphaGo's choice might be safer to win.
"[20][17][21] Canadian AI specialist Jonathan Schaeffer, comparing AlphaGo with a "child prodigy" that lacked experience, considered this match "not yet a Deep Blue moment", and said that the real achievement would be "when the program plays a player in the true top echelon".