The match concluded on February 17, 1996. However, Kasparov won three and drew two of the following five games, beating Deep Blue by a score of 42 (wins count 1 point, draws count point). And, not to be upstaged by Google, Facebook CEO, Mark Zuckerberg posted this morning that his company’s AI researchers are also pretty close to beating the game. On February 10, 1996, Deep Blue became the first machine to win a chess game against a reigning world champion (Garry Kasparov) under regular time controls. A little over a month later, Google has done just that.
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And in December, a prominent AI researcher, Rémi Coulom-who’s spent years trying to crack the game, and is even cited in DeepMind’s research paper- told Wired that he believed someone would crack the game in the next ten years. Prior to today, scientists had only been able to create systems that could beat a human with a few moves’ head start. Google is by no means the only company or research institution that has been working on solving the Go problem. AlphaGo can play through millions of games every single day.” Kasparov accused IBM of cheating and demanded a rematch. Deep Blue won game six, therefore winning the six-game rematch 3❒½ and becoming the first computer system to defeat a reigning world champion in a match under standard chess tournament time controls. “Humans have a limitation in terms of the actual number of Go games that they’re able to process in a lifetime. Deep Blue was then heavily upgraded, and played Kasparov again in May 1997. They get tired when they play a very long match. And it will likely only get stronger with more training.
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While the technical achievement was worth celebrating, “one couldn’t help but root for the poor human being getting beaten,” he said.ĪlphaGo had a 99.8% win rate against other Go programs, as well as beating Hui. But Chouard said the event prompted mixed feelings in him. “It was one of the most exciting moments in my career,” Chouard said at a press briefing Jan. DeepMind’s researchers said in their paper that AlphaGo “evaluated thousands of times fewer positions than Deep Blue did in its chess match against Kasparov.”
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Nature’s senior editor, Tanguy Chouard was present when AlphaGo took on Fan Hui and served as a moderator for the game. Last October, DeepMind invited the reigning European Go champion, Fan Hui, into its UK office to play its computer at Go. Instead of evaluating every possible move, it selects a few moves that it senses to likely be potentially good moves. One of the networks, called a “value network” evaluates the computer’s positions on the board, and the other, a “policy network” decides where to move. Players often choose moves, Hassabis said, because they “felt right”-which is not a way a computer program acts. DeepMind’s solution was to build two neural networks-two computer systems that are modeled after the human brain, and can be trained on large data sets to perform certain tasks based on the knowledge it’s accrued.