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The success of the system named AlphaGo is considered important for Google. Unknown, Go board game has a mechanism which is more complicated than chess. Google said, there are more possibilities for movement in the game of Go than the number of atoms in the universe.
To that end, AlphaGo created to face the possibility of the game are almost limitless. It is different when a computer playing chess. Typically, the computer is designed only to try to determine all the possibilities that could happen in a match.
Citing information from the pages of Engadget, Sunday (31/01/2016), to support AlphaGo, Google DeepMind has planted more than 30 million neural network of professional player movement. That information will then be studied and implemented in a strategy by AlphaGo.
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