| 
            
			 In what they called a milestone achievement for artificial 
			intelligence, scientists said on Wednesday they have created a 
			computer program that beat a professional human player at the 
			complex board game called Go, which originated in ancient China. 
			 
			The feat recalled IBM supercomputer Deep Blue's 1997 match victory 
			over chess world champion Garry Kasparov. But Go, a strategy board 
			game most popular in places like China, South Korea and Japan, is 
			vastly more complicated than chess. 
			 
			"Go is considered to be the pinnacle of game AI research," said 
			artificial intelligence researcher Demis Hassabis of Google 
			DeepMind, the British company that developed the AlphaGo program. 
			"It's been the grand challenge, or holy grail if you like, of AI 
			since Deep Blue beat Kasparov at chess." 
			
			  DeepMind was acquired in 2014 by Google . 
			 
			AlphaGo swept a five-game match against three-time European Go 
			champion and Chinese professional Fan Hui. Until now, the best 
			computer Go programs had played only at the level of human amateurs. 
			 
			In Go, also called Igo, Weiqi and Baduk, two players place black and 
			white pieces on a square grid, aiming to take more territory than 
			their adversary. 
			 
			"It's a very beautiful game with extremely simple rules that lead to 
			profound complexity. In fact, Go is probably the most complex game 
			ever devised by humans," said Hassabis, a former child chess 
			prodigy. 
			 
			Scientists have made artificial intelligence strides in recent 
			years, making computers think and learn more like people do. 
			 
			
            [to top of second column]  | 
            
             
            
			  
			Hassabis acknowledged some people might worry about the increasing 
			capabilities of artificial intelligence after the Go accomplishment, 
			but added, "We're still talking about a game here." 
			 
			While AlphaGo learns in a more human-like way, it still needs many 
			more games of practice, millions rather than thousands, than a human 
			expert needs to get good at Go, Hassabis said. 
			 
			The scientists foresee future applications for such AI programs 
			including: improving smart phone assistants (Apple's Siri is an 
			example); medical diagnostics; and eventually collaborating with 
			human scientists in research. 
			 
			Hassabis said South Korea's Lee Sedol, the world's top Go player, 
			has agreed to play AlphaGo in a five-game match in Seoul in March. 
			Lee said in a statement, "I heard Google DeepMind's AI is 
			surprisingly strong and getting stronger, but I am confident that I 
			can win, at least this time." 
			 
			The findings were published in the journal Nature. 
			 
			(Reporting by Will Dunham; Editing by Frances Kerry) 
			
			[© 2016 Thomson Reuters. All rights 
			reserved.] 
			Copyright 2016 Reuters. All rights reserved. This material may not be published, 
			broadcast, rewritten or redistributed. 
			
			   |