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Interest in artificial intelligence systems has surged recently, largely due to AlphaGo's victory over Lee Sedol. "Go" is a highly complex ancient Chinese strategy game that is considered far more challenging than chess. Even after decades of research, artificial intelligence systems that play this game can only reach the level of amateur human players.
This led Google’s DeepMind to develop AlphaGo, an AI system that combines a deep neural network with an advanced search algorithm. The system was initially programmed by playing amateur matches and then played thousands of games against different versions of itself, each time learning from its mistakes, a technique called reinforcement learning.
In October 2015, AlphaGo achieved an unprecedented feat for artificial intelligence systems: it defeated professional Go player and three-time European champion Fan Hui. In March 2016, it defeated Go legend Lee Sedol, ushering in a new era of artificial intelligence systems and proving that neural networks and reinforcement learning can be used to solve complex problems.
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