Скачать или смотреть Skynews digital view - Google Deepmind and GO champion challenge

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. ‘Go’ looks like a rather simple game made up of black and white stones that are used to close off sections of the board and capture other player’s pieces by surrounding them. But it has near infinite possibilities of moves, making it hard to use a computer to predict how to win.

Deepmind's AlphaGo algorithm uses deep neural networks are trained by a novel combination of supervised learning from human expert games, and reinforcement learning from games of self-play.

AlphaGo is taking part in a competition between South Korea’s Lee Sedol and the AlphaGo algorithm. It will involve five matches of the ancient strategy game ‘Go.’ AlphaGo beat the European champ Fan Hui 5 – 0 in a secret tournament last year. The matches will be live streamed from the Four Seasons hotel in Seoul on DeepMind’s YouTube channel on March 9, 10, 12, 13 and 15 and it’s expected each match will last five hours. AlphaGo’s moves will be directed from a monitor and played by the algorithm’s lead programmer.