AlphaGo versus Ke Jie was a three-game Go match between the computer Go program AlphaGo Master and current world No. 1 ranking player Ke Jie, being part of the Future of Go Summit in Wuzhen, China, played on 23, 25, and 27 May 2017. [1] AlphaGo defeated Ke Jie in all three games. [2]
Match | Date | Black | White | Result | Moves | |
---|---|---|---|---|---|---|
1 | 23 May 2017 | Ke Jie | AlphaGo | W+0.5 | 289 | sgf |
2 | 25 May 2017 | AlphaGo | Ke Jie | B+Res | 155 | sgf |
3 | 27 May 2017 | AlphaGo | Ke Jie | B+Res | 209 | sgf |
Result: AlphaGo 3–0 Ke Jie |
At the time of the match Ke Jie was ranked 1st among all human players worldwide under Rémi Coulom's ranking system, and had held that position since late 2014. [3] Ke Jie was also ranked number one in the world under Korea Baduk Association's, [4] Japan Go Association's [5] and Chinese Weiqi Association's [6] ranking systems.
The version of AlphaGo in this match was AlphaGo Master, the one that defeated top pros in 60 online games, [7] using four TPUs on a single machine with Elo rating 4,858. [8] DeepMind claimed that this version was 3-stone stronger than the version used in AlphaGo v. Lee Sedol. [9] AlphaGo Master was actually the second best version that DeepMind had at the time, for it was already in possession of AlphaGo Zero, a version much stronger than the Master version; this can be known by the fact that Nature received their paper on AlphaGo Zero on April 7, before the games with Ke Jie. [8] DeepMind did not reveal the existence of AlphaGo Zero until the paper was published in Nature in October 2017.
Before the Future of Go Summit, AlphaGo Master defeated Ke Jie by three to zero during its 60 straight wins in the online games at the end of 2016 and beginning of 2017. [10]
Google DeepMind offered $1.5 million winner prizes for this match while the losing side took $300,000 for participating in the three games. [11] [12] AlphaGo won all three games against Ke Jie. [13] [14] After the match between AlphaGo and Ke Jie, AlphaGo retired while DeepMind continued AI research in other areas. [15] AlphaGo was subsequently awarded a professional 9-dan title by the Chinese Weiqi Association. [16]
On 23 May, AlphaGo (white) won by 0.5 points.
First 99 moves |
Moves 100–199 (139 at ) |
Moves 200–289 |
The second game was played on 25 May. About 1 hour into the game, Demis Hassabis tweeted that according to AlphaGo's evaluations, Ke was playing perfectly. [17] However, Ke later lost ground on the lower part of the board. About 4 hours into the game, AlphaGo simplified the position, and it became clear that Ke was losing.
AlphaGo (black) won by resignation after move 155.
First 99 moves |
Moves 100–155 (104/132/137 at , 129/135 at 101) |
On 27 May, Ke Jie (white) resigned in game three, finishing the series with a 3–0 win for AlphaGo. At resignation, AlphaGo (black) had roughly an hour and a half of its time remaining, while Ke Jie had roughly 32 minutes left on the clock.
First 99 moves |
Moves 100–199 |
Moves 200–209 |
The match was barred from being live-streamed in China. [18] The game however has been covered in China both online and on national television via Zhejiang TV. [19]
Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays the traditional board game Go. The field is sharply divided into two eras. Before 2015, the programs of the era were weak. The best efforts of the 1980s and 1990s produced only AIs that could be defeated by beginners, and AIs of the early 2000s were intermediate level at best. Professionals could defeat these programs even given handicaps of 10+ stones in favor of the AI. Many of the algorithms such as alpha-beta minimax that performed well as AIs for checkers and chess fell apart on Go's 19x19 board, as there were too many branching possibilities to consider. Creation of a human professional quality program with the techniques and hardware of the time was out of reach. Some AI researchers speculated that the problem was unsolvable without creation of human-like AI.
The Qisheng is a Go competition in China organized by the Chinese Weiqi Association. The word qíshèng means "Go saint", similar to the Japanese Kisei and the Korean Kiseong.
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DeepMind Technologies Limited, trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc.. Founded in the UK in 2010, it was acquired by Google in 2014 and merged with Google AI's Google Brain division to become Google DeepMind in April 2023. The company is based in London, with research centres in Canada, France, Germany, and the United States.
AlphaGo is a computer program that plays the board game Go. It was developed by the London-based DeepMind Technologies, an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. After retiring from competitive play, AlphaGo Master was succeeded by an even more powerful version known as AlphaGo Zero, which was completely self-taught without learning from human games. AlphaGo Zero was then generalized into a program known as AlphaZero, which played additional games, including chess and shogi. AlphaZero has in turn been succeeded by a program known as MuZero which learns without being taught the rules.
Fan Hui is a Chinese-born French Go player. Becoming a professional Go player in 1996, Fan moved to France in 2000 and became the coach of the French national Go team in 2005. He was the winner of the European Go Championship in 2013, 2014 and 2015. As of 2015, he is ranked as a 2 dan professional. He additionally won the 2016 European Professional Go Championship.
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Ke Jie is a Chinese professional Go player of 9 dan rank. He was born on August 2, 1997, in Liandu District, Lishui City, Zhejiang Province.
Master is a version of DeepMind's Go software AlphaGo, named after the account name used online, which won 60 straight online games against human professional Go players from 29 December 2016 to 4 January 2017. This version was also used in the Future of Go Summit in May 2017. It used four TPUs on a single machine with Elo rating 4,858. DeepMind claimed that AlphaGo Master was 3-stone stronger than the version used in AlphaGo v. Lee Sedol.
The Future of Go Summit was held in May 2017 by the Chinese Go Association, Sport Bureau of Zhejiang Province and Google in Wuzhen, Zhejiang, the permanent host of the World Internet Conference. It featured five Go games involving AlphaGo and top Chinese Go players, as well as a forum on the future of AI. It was Google’s biggest public event in partnership with the Chinese government since Google China's search engine was moved out of mainland China to Hong Kong due to the government censorship in 2010. It was seen as a charm offensive launched by Google toward Chinese officials, being part of effort to reopen China's market.
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AlphaGo versus Fan Hui was a five-game Go match between European champion Fan Hui, a 2-dan professional, and AlphaGo, a computer Go program developed by DeepMind, held at DeepMind's headquarters in London in October 2015. AlphaGo won all five games. This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap. This match was not disclosed to the public until 27 January 2016 to coincide with the publication of a paper in the journal Nature describing the algorithms AlphaGo used.
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