Mathematicians use DeepMind AI to create new methods in problem-solving

Geordie Williamson is Director of the Sydney Mathematical Research Institute. Ph
Geordie Williamson is Director of the Sydney Mathematical Research Institute. Photo: Louise Cooper/University of Sydney
Geordie Williamson is Director of the Sydney Mathematical Research Institute. Photo: Louise Cooper/University of Sydney Sydney researcher Professor Geordie Williamson is working with colleagues at Oxford using DeepMind's artificial intelligence to develop fundamentally new techniques in mathematics. For the first time, computer scientists and mathematicians have used artificial intelligence to help prove or suggest new mathematical theorems in the complex fields of knot theory and representation theory. The astonishing results have been published today in the pre-eminent scientific journal, Nature . Professor Geordie Williamson is Director of the University of Sydney Mathematical Research Institute and one of the world's foremost mathematicians. As a co-author of the paper, he applied the power of Deep Mind's AI processes to explore conjectures in his field of speciality, representation theory. His co-authors were from DeepMind - the team of computer scientists behind AlphaGo , the computer program successfully in the game of Go in 2016.
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