AlphaGo versus Lee Sedol
| Seoul, South Korea, 9–15 March 2016 | |
|---|---|
| Game one | AlphaGo W+R |
| Game two | AlphaGo B+R |
| Game three | AlphaGo W+R |
| Game four | Lee Sedol W+R |
| Game five | AlphaGo W+R |
AlphaGo versus Lee Sedol, also known as the DeepMind Challenge Match, was a five-game Go match between top Go player Lee Sedol and AlphaGo, a computer Go program developed by DeepMind, played in Seoul, South Korea between the 9th and 15th of March 2016. AlphaGo won all but the fourth game;[1] all games were won by resignation.[2] The match has been compared with the historic chess match between Deep Blue and Garry Kasparov in 1997.
The winner of the match was slated to win $1 million. Since AlphaGo won, Google DeepMind stated that the prize would be donated to charities, including UNICEF, and Go organisations.[3] Lee received $170,000 ($150,000 for participating in the five games and an additional $20,000 for winning one game).[4]
After the match, the Korea Baduk Association awarded AlphaGo the highest Go grandmaster rank – an "honorary 9 dan". It was given in recognition of AlphaGo's "sincere efforts" to master Go.[5] This match was chosen by Science as one of the runners-up for Breakthrough of the Year, on 22 December 2016.[6]
- ^ "Artificial intelligence: Go master Lee Se-dol wins against AlphaGo program". BBC News Online. 13 March 2016. Retrieved 13 March 2016.
- ^ "Computer Go". Go Game Guru. Archived from the original on 14 March 2016. Retrieved 13 March 2016.
- ^ "Human champion certain he'll beat AI at ancient Chinese game". Associated Press. 22 February 2016. Archived from the original on 22 December 2018. Retrieved 22 February 2016.
- ^ "이세돌 vs 알파고, '구글 딥마인드 챌린지 매치' 기자회견 열려" (in Korean). Korea Baduk Association. 22 February 2016. Archived from the original on 3 March 2016. Retrieved 22 February 2016.
- ^ "Google's AlphaGo gets 'divine' Go ranking". The Straits Times. 15 March 2016.
- ^ "From AI to protein folding: Our Breakthrough runners-up". Science. 22 December 2016. Retrieved 30 December 2016.