The Moral Imperative of Artificial Intelligence
The big news on March 12 of this year was of the Go-playing AI-system AlphaGo securing victory against 18-time world champion Lee Se-dol by winning the third straight game of a five-game match in Seoul, Korea. After Deep Blue's victory against chess world champion Gary Kasparov in 1997, the game of Go was the next grand challenge for game-playing artificial intelligence. Go has defied the brute-force methods in game-tree search that worked so successfully in chess. In 2012, Communications published a Research Highlight article by Sylvain Gelly et al. on computer Go, which reported that "Programs based on Monte-Carlo tree search now play at human-master levels and are beginning to challenge top professional players." AlphaGo combines tree-search techniques with search-space reduction techniques that use deep learning. Its victory is a stunning achievement and another milestone in the inexorable march of AI research.
Sep-3-2016, 09:55:31 GMT
- Country:
- Asia > South Korea
- North America > United States (0.16)
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- Information Technology > Artificial Intelligence
- Games > Go (1.00)
- Machine Learning > Neural Networks
- Deep Learning (0.52)
- Representation & Reasoning > Search (1.00)
- Information Technology > Artificial Intelligence