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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Bibliographic Details
Published inNature (London) Vol. 531; no. 7594; pp. 284 - 285
Main Author Gibney, Elizabeth
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 17.03.2016
Nature Publishing Group
Subjects
639/705
639/705/117
639/705/794
706/703/559
Algorithms
Artificial intelligence
Artificial Intelligence - trends
Child
Diagnosis
Games
Games, Recreational - psychology
Humanities and Social Sciences
Humans
Language
Learning
Male
multidisciplinary
Neural networks
news
Science
Science (multidisciplinary)
Smartphone - trends
Studies
Online AccessGet full text
ISSN0028-0836
1476-4687
1476-4687
DOI10.1038/531284a

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Summary: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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ObjectType-News-1
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ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/531284a