CityU scientists classify knots efficiently with artificial intelligence

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AlphaGo, the artificial intelligence programme that plays chess, has made history by defeating two human world champions from China and South Korea. AlphaGo’s impressive victory over the sophisticated human brains is considered one giant step for artificial intelligence. Its “intelligence” is built from neural networks, a machine learning technology. Recently, scientists from City University of Hong Kong (CityU) and his collaborators have trained artificial neural networks to classify knots, achieving an accuracy of over 99%. It proves that machine learning can facilitate knot research in mathematical and physical sciences.
Period16 Apr 2020

Media coverage

TitleCityU scientists classify knots efficiently with artificial intelligence
Persons
Media name/outletCity University of Hong Kong - Research Stories
PlaceHong Kong
Media typeWeb
Date16/04/20
Linkhttps://www.cityu.edu.hk/research/stories/2020/04/16/cityu-scientists-classify-knots-efficiently-artificial-intelligence