Google's programmers have another reason to be proud of themselves. The computer with the AlphaGo program developed by them literally defeated the reigning European champion in the game of Go - Fan Hui with a score of 5: 0.
Until recently, teaching a computer to play this ancient game was considered something almost unattainable, akin to finding the Holy Grail. However, in the 90s, programmers seriously started developing programs for classic board games, including chess and backgammon. The first significant success was the victory of the IBM Deep Blue computer over Garry Kasparov in 1997.
Almost 20 years passed before artificial intelligence "reached" the game of Go, in which connoisseurs assign an important role to intuition. According to Demis Hassabis, a researcher at Google DeepMind, one of the key features of AlphaGo is the ability to learn while playing with itself.
It is believed that Go originated in China from 2 to 4 thousand years ago and is still very popular in the countries of East Asia. In terms of the number of possible game variants, it surpasses chess by about 10 times.
The researchers argue that the AlphaGo program could be developed by new Google applications, as well as programs in the field of medicine.