The AlphaGo algorithm, developed by Google DeepMind for the game of go, defeated the 19-year-old Ke Jie, the current world champion in this discipline. The first match of the three planned was held in the Chinese city of Wujen as part of the Future of Go Summit event. The next meetings of artificial intelligence and the athlete will be held on May 25 and 27. AlphaGo program played with white stones and won by a margin of half a point. After the meeting between the rivals, Google’s DeepMind CEO Demis Hassabis explained that the neural network was programmed not to win, but to learn how to play the game using real games as an example, stitching all the combinations taking into account the intuitive tactics inherent in people. However, experts monitoring the development of the event noted that AlphaGo took the leading position even at the initial stages of the match, as a result of which by the end of the game he had a significant advantage in time. Ke Jie had 13 minutes to think about the moves, while Google’s development took more than an hour and a half. Recall that in 2016 AlphaGo won a crushing victory over one of the strongest go players at that time, South Korean master Lee Sedol, who had the highest ninth dan. The result of the five-match contest was 4-1 in favor of the Google DeepMind neural network. In the same year, Chinese Ke Jie defeated Lee Sedol twice, thus becoming the best go player in the world to date. As part of the Future of Go Summit, AlphaGo algorithm also meet with a team of five professional players. After which there will be a match between two players for whom AlphaGo will act as a partner, alternating their moves with each of them. The simultaneous game session is scheduled for May 26.