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DeepMind AlphaGo
AlphaGo is a computer program that plays the board game Go. It was developed by DeepMind Technologies a subsidiary of Google (now Alphabet Inc.). 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. AlphaGo and its successors use a Monte Carlo tree search algorithm to find its moves based on knowledge previously acquired by machine learning, specifically by an artificial neural network (a deep learning method) by extensive training, both from human and computer play. A neural network is trai ...
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Alphago Logo Reversed
AlphaGo is a computer program that plays the board game Go. It was developed by DeepMind Technologies a subsidiary of Google (now Alphabet Inc.). 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. AlphaGo and its successors use a Monte Carlo tree search algorithm to find its moves based on knowledge previously acquired by machine learning, specifically by an artificial neural network (a deep learning method) by extensive training, both from human and computer play. A neural network is trai ...
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Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. Deep-learning architectures such as deep neural networks, deep belief networks, deep reinforcement learning, recurrent neural networks, convolutional neural networks and Transformers have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, Climatology, climate science, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, artificial ...
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Future Of Go Summit
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. The version of AlphaGo used in this Summit was AlphaGo Master, using four TPUs on a single machine with Elo rating 4,858. DeepMind claimed that this version was 3-stones stronger in games of self-play against itself than the version used in AlphaGo v. Lee Sedol. After winning its three-game match against Chinese grandmaster Ke Jie, the world's top Go ...
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Breakthrough Of The Year
The Breakthrough of the Year is an annual award for the most significant development in scientific research made by the AAAS journal ''Science,'' an academic journal covering all branches of science. Originating in 1989 as the ''Molecule of the Year'', and inspired by ''Time'' Man of the Year, it was renamed the Breakthrough of the Year in 1996. Molecule of the Year * 1989 PCR and DNA polymerase * 1990 the manufacture of synthetic diamonds * 1991 buckminsterfullerene * 1992 nitric oxide * 1993 p53 * 1994 DNA repair enzyme Breakthrough of the Year * 1996: Understanding HIV * 1997: Dolly the sheep, the first mammal to be cloned from adult cells * 1998: Accelerating universe * 1999: Prospective stem-cell therapies * 2000: Full genome sequencing * 2001: Nanocircuits or Molecular circuit * 2002: RNA interference * 2003: Dark energy * 2004: ''Spirit'' rover landed on Mars * 2005: Evolution in action * 2006: Proof of the Poincaré conjecture * 2007: Human genetic variation * 2 ...
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Science (journal)
''Science'', also widely referred to as ''Science Magazine'', is the peer-reviewed academic journal of the American Association for the Advancement of Science (AAAS) and one of the world's top academic journals. It was first published in 1880, is currently circulated weekly and has a subscriber base of around 130,000. Because institutional subscriptions and online access serve a larger audience, its estimated readership is over 400,000 people. ''Science'' is based in Washington, D.C., United States, with a second office in Cambridge, UK. Contents The major focus of the journal is publishing important original scientific research and research reviews, but ''Science'' also publishes science-related news, opinions on science policy and other matters of interest to scientists and others who are concerned with the wide implications of science and technology. Unlike most scientific journals, which focus on a specific field, ''Science'' and its rival ''Nature (journal), Nature'' c ...
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AlphaGo (film)
''AlphaGo'' is a 2017 documentary directed by Greg Kohs about the Google DeepMind Challenge Match with top-ranked Go player Lee Sedol. Premise The film presents how AlphaGo, a computer program developed by DeepMind Technologies, mastered the game of Go through artificial intelligence. Its competence was tested by Lee Sedol, a South Korean world champion. Release ''AlphaGo'' was released in New York City on September 29, 2017, and Los Angeles next month. Reception Critical response ''AlphaGo'' earned positive reviews. On Rotten Tomatoes, the film has an approval rating of 100%, with an average score of 8/10, based on 10 reviews. Charlotte O'Sullivan of ''Evening Standard'' gave the film 4 stars out of five, calling it a "gripping, emotional documentary, which gets us thinking, about thinking, in a whole new way." Accolades Winner * Denver International Film Festival (2017) - Maysles Brothers Award, Best documentary * New Media Film Festival (2018) - Best Trailer ...
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Straitstimes
''The Straits Times'' is an English-language daily broadsheet newspaper based in Singapore and currently owned by SPH Media Trust (previously Singapore Press Holdings). ''The Sunday Times'' is its Sunday edition. The newspaper was established on 15 July 1845 as ''The Straits Times and Singapore Journal of Commerce''. ''The Straits Times'' is considered a newspaper of record for Singapore. The print and digital editions of ''The Straits Times'' and ''The Sunday Times'' have a daily average circulation of 364,134 and 364,849 respectively in 2017, as audited by Audit Bureau of Circulations Singapore. Myanmar and Brunei editions are published, with newsprint circulations of 5,000 and 2,500 respectively. History The original conception for ''The Straits Times'' has been debated by historians of Singapore. Prior to 1845, the only English-language newspaper in Singapore was ''The'' ''Singapore Free Press'', founded by William Napier in 1835. Marterus Thaddeus Apcar, an Armenian merc ...
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Korea Baduk Association
The Korea Baduk Association, also known as Hanguk Kiwon (), was founded in November 1945 by Cho Namchul. Baduk is a game which was present in Korea by the 5th century. It originated in China, but the West is more familiar with the Japanese name Go. This is because the Japanese were the first to introduce it to the West. Japan was introduced to the game in the 7th century AD. Initially, most Korean players followed the sunjang style of beginning by placing sixteen stones —eight white and eight black— on the board in a preset pattern. Cho Namchul knew that the international players began with an empty board like Japan since Japan was the first to introduce the game to the West. By forming the association, he set about convincing Koreans players to use the "modern" style. The Hanguk Kiwon is the Go organization that oversees Go professionals in South Korea. It issues official diplomas for strong players and organizes tournaments for professionals. See also * International ...
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Go Ranks And Ratings
There are various systems of Go ranks and ratings that measure the skill in the traditional board game Go. Traditionally, Go rankings have been measured using a system of dan and kyu ranks. Especially in amateur play, these ranks facilitate the handicapping system, with a difference of one rank roughly corresponding to one free move at the beginning of the game. This system is also commonly used in many East Asian martial arts, where it often corresponds with a belt color. With the ready availability of calculators and computers, rating systems have been introduced. In such systems, a rating is rigorously calculated on the basis of game results. Kyu and dan ranks Traditionally, the level of players has been defined using ''kyu'' and ''dan'' ranks. Kyu ranks are considered ''student'' ranks. Dan ranks are considered ''master'' ranks. Beginners who have just learned the rules of the game are usually around 30th kyu. As they progress, they advance numerically downwards through th ...
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AlphaGo Versus Lee Sedol
AlphaGo versus Lee Sedol, also known as the Google DeepMind Challenge Match, was a five-game Go match between top Go player Lee Sedol and AlphaGo, a computer Go program developed by Google DeepMind, played in Seoul, South Korea between 9 and 15 March 2016. AlphaGo won all but the fourth game; all games were won by resignation. 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 will be donated to charities, including UNICEF, and Go organisations. Lee received $170,000 ($150,000 for participating in the five games and an additional $20,000 for winning one game). 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. This match was chosen by ''Science'' as one of the Breakthrough of th ...
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Lee Sedol
Lee Sedol ( ko, 이세돌; born 2 March 1983), or Lee Se-dol, is a former South Korean professional Go player of 9 dan rank. As of February 2016, he ranked second in international titles (18), behind only Lee Chang-ho (21). He is the fifth-youngest (12 years 4 months) to become a professional Go player in South Korean history behind Cho Hun-hyun (9 years 7 months), Lee Chang-ho (11 years 1 months), Cho Hye-yeon (11 years 10 months) and Choi Cheol-han (12 years 2 months). His nickname is "The Strong Stone" ("Ssen-dol"). In March 2016, he played a notable series of matches against AlphaGo that ended in 1–4. On 19 November 2019, Lee announced his retirement from professional play, stating that he could never be the top overall player of Go due to the increasing dominance of AI. Lee referred to them as being "an entity that cannot be defeated". Biography Lee was born in South Korea in 1983 and studied at the Korea Baduk Association. He ranks second in international tit ...
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Go Handicaps
Within most systems and at most levels in the game of Go, a handicap is given to offset the strength difference between players of different ranks. Forms of handicaps In the game of Go, a handicap is given by means of stones and compensation points. In contrast to an even game, in which Black plays first, White plays the first move in a game with handicap (after Black's handicap stones have been placed). Handicap stones The rank difference within a given amateur ranking system is one guide to how many handicap stones should be given to make the game a more equal contest. As a general rule, each rank represents the value of one stone. (In terms of points, one stone is considered to be 13-16 points, but this figure is not constant over levels: the more skillful a player, the greater the usefulness of each stone.) For example, a 3 ''kyu'' player gives a 7 ''kyu'' player four handicap stones to allow for an interesting game with roughly equal challenge for both players. If tradit ...
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