Google AlphaGo uses machine learning to triumph in Go game

Google has revealed that it has achieved one of the grand challenges of AI. Its AlphaGo system has utilised advanced tree search and deep neural networks to learn the ancient board game. Now AlphaGo has surpassed all previous attempts at an AI purposed for the game of Go, playing and winning against accomplished human players for the first time. While computer intelligence has been developed to play us at various board games and then polished to beat (even the best) human players over the years, an AI that could play and beat humans at Go has been elusive. Computer scientists have toppled the best players of noughts-and-crosses (1952), draughts (1994) and even chess (1997) – but Go was thought to have been beyond computers for now, due to its “profound…


Link to Full Article: Google AlphaGo uses machine learning to triumph in Go game

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