What Google’s winning Go algorithm will do next
Following the defeat of one of its finest human players, the ancient game of Go has joined the growing list of tasks at which computers perform better than humans. In a 6-day tournament in Seoul, watched by a reported 100 million people around the world, the computer algorithm AlphaGo, created by th...
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| Published in | Nature (London) Vol. 531; no. 7594; pp. 284 - 285 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
17.03.2016
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0028-0836 1476-4687 1476-4687 |
| DOI | 10.1038/531284a |
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| Abstract | Following the defeat of one of its finest human players, the ancient game of Go has joined the growing list of tasks at which computers perform better than humans. In a 6-day tournament in Seoul, watched by a reported 100 million people around the world, the computer algorithm AlphaGo, created by the Google-owned company DeepMind, beat Go professional Lee Sedol by 4 games to 1. The complexity and intuitive nature of the ancient board game had established Go as one the greatest challenges in artificial intelligence (AI). Now the big question is what the DeepMind team will turn to next. |
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| AbstractList | AlphaGo’s techniques could have broad uses, but moving beyond games is a challenge. Following the defeat of one of its finest human players, the ancient game of Go has joined the growing list of tasks at which computers perform better than humans. In a 6-day tournament in Seoul, watched by a reported 100 million people around the world, the computer algorithm AlphaGo, created by the Google-owned company DeepMind, beat Go professional Lee Sedol by 4 games to 1. The complexity and intuitive nature of the ancient board game had established Go as one the greatest challenges in artificial intelligence (AI). Now the big question is what the DeepMind team will turn to next. |
| Author | Gibney, Elizabeth |
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| Copyright | Springer Nature Limited 2016 Copyright Nature Publishing Group Mar 17, 2016 |
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| DOI | 10.1038/531284a |
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| Snippet | AlphaGo’s techniques could have broad uses, but moving beyond games is a challenge. Following the defeat of one of its finest human players, the ancient game of Go has joined the growing list of tasks at which computers perform better than... |
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| Title | What Google’s winning Go algorithm will do next |
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