Google's AlphaGo, the artificial intelligence program will have a rematch in the ancient game of Go. This will be the second round of man versus machine in the strategic board game.
The rematch between Google's AlphaGo versus human in the game of Go will begin on Tuesday, May 23, as reported by The Standard. This time, Google's AlphaGo will face the 19-year- old Chinese Go master Ke Jie.
Last year, Google's AlphaGo defeated the South Korean Grand Master, Lee Sedol by winning four matches in the five games. Lee is a 9-dan ranked grandmaster in the Chinese ancient board game. This time, the opponent of Google's AlphaGo is also the 9-dan ranked grandmaster and the game is played during the Future of Go Summit in Wuzhen, China from May 23 to 27.
The Future of Go Summit is held as a collaboration between the Chinese Go Association, Sports Bureau of Zhejiang Province and Google. The Summit will also feature five games between Google's AlphaGo against top Chinese Go players. Aside from three games against Ke Jie, Google's AlphaGo will be paired with Gu Li in the game against Lian Xiao, who will also team up with AlphaGo.
Google's AlphaGo is an advanced artificial intelligence program created by DeepMind. According to South China Morning Post, the deep neural network of AlphaGo enables it to teach itself a complex game of Go.
Go is an ancient Chinese board game, invented 3,000 years ago, and considered as the oldest board game in the world. The game is a strategy board game in which the players must surround more territory than the opponent with their game pieces. The game is a much complex game than chess, therefore for Google's AlphaGo to master the game will require a complex algorithm and database.
Programmers of Google's AlphaGo develop the basic heuristic of the game and completed the program with 30 million board positions from 160,000 real-life games. This approach is sufficient for AlphaGo to defeat the human opponent as last year. Watch the compilation of final game between the artificial intelligence program with Lee below:
