First went checkers, then fell chess. Now, a computer program has defeated the world's top player in the ancient east Asian board game of Go -- a major milestone for artificial intelligence that brings to a close the era of board games as benchmarks in computing. At the Four Seasons Hotel in Seoul, Google DeepMind's AlphaGo capped a 3-0 week on Saturday against Lee Sedol, a giant of the game. Lee and AlphaGo were to play again Sunday and Tuesday, but with AlphaGo having already clinched victory in the five-game match, the results are in and history has been made. It was a feat that experts had thought was still years away.
With AI and big data analytics powering the next generation of surgical robots, 3 most promising AI systems can be incorporated in future surgical robots: IBM Watson, Alpha Go, and machine learning algorithms. Watson is capable of becoming an intelligent surgical assistant capable of storing a plethora of medical information and use natural language processing to respond to surgeon's queries. Google's DeepMind project AlphaGo can be a potential contender for surgical robotic AI systems. Moreover, unsupervised pattern matching algorithms would aid doctors in recognizing when a sequence of symptoms results in a particular disease.
AlphaGo is going out on top. After beating Ke Jie, the world's best player of the ancient Chinese board game Go, for the third time today at the Future of Go Summit in Wuzhen, Google's DeepMind unit announced that it would be the last event match the AI plays. In a statement, DeepMind co-founder and co-CEO Demis Hassabis said the reason was that this week's summit represented "the highest possible pinnacle for AlphaGo as a competitive program." AlphaGo rose to prominence a little over a year ago when it unexpectedly defeated legendary player Lee Se-dol 4-1 in a match held in Seoul. Most computer scientists expected the feat of beating a top Go player with artificial intelligence to be decades away due to the game's complexity and nuance, but with this week's comprehensive defeat of Ke Jie the matter has been settled.
I meant to write this blog several months ago. However as a compulsive procrastinator I kept putting it to another day, until today. On January 27, an article in Nature reported on a computer that had beat a human player at Go. It is an ancient board game that has long been viewed as a hard nut to crack for Artificial Intelligence (AI). Till then, computers had already beaten the best human players of backgammon, draughts, and chess.
Google DeepMind has come out with its AlphaGo artificial intelligence that can crack trevigintillion (1072) possible positions in the game Go and beat a human champion. "It was the first time a computer program has ever beaten a professional Go player," Demis Hassabis from Google DeepMind wrote in a blog. What makes Go a hard task in AI is the magnitude of complexity in the game. "That's more than the number of atoms in the universe, and more than a googol times larger than chess," wrote Hassabis. Google DeepMind tested AlphaGo against a three-time European Go champion.