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What was the first artificial intelligence program to beat the world champion of Go?
The first artificial intelligence program to beat the world champion of Go was Alpha Dog. In the 20 16 Go Man-Machine War held in Seoul, South Korea, Alpha Dog defeated Li Shishi, a famous Korean chess player.

AlphaGo program is a man-machine game Go program developed by DeepMind team of Google Inc. in the United States, and it is nicknamed Alpha Dog by China chess fans. Game is one of the main positions in the early development of artificial intelligence. For example, games require artificial intelligence to be smarter and more flexible, and solve problems in a way closer to human thinking.

Extended data:

AlphaGo cooperates with two deep neural networks to play chess through Monte Carlo tree search algorithm. Before playing against Li Shishi, Google trained the neural network of "Alpha Dog" with nearly 30 million moves of human chess, so that it could learn to predict how human professional chess players would fall.

Then go one step further and let AlphaGo play chess with himself, thus producing a brand-new chess score on a large scale. Google engineers claim that AlphaGo can try millions of moves every day.

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