AlphaGo relied on deep neural networks and reinforcement learning, improving through self-play rather than brute-force search.

AlphaGo, Google's DeepMind program, defeated South Korean Go master Lee Se-dol 4-1 in a five-game match held in Seoul in 2016.

The Korea Baduk Association awarded AlphaGo an honorary 9-dan for its groundbreaking achievement.

Experts had believed such a breakthrough was years away given Go’s immense complexity, which made the victory especially surprising.

The result drew comparisons to the 1997 Deep Blue versus Garry Kasparov chess match and underscored AI progress.

The match marked a historic milestone in artificial intelligence development and in Go, a game renowned for its complexity and reliance on human intuition.