He also did so before the confluence of talent, capital, bandwidth, and unstructured data in need of structuring came together to put AI at the center of the innovation roadmap in Silicon Valley...
Apr 16, 2021 · A Google engineering fellow and cofounder of the Vector Institute for Artificial Intelligence, Hinton wrote up his hunch in fits and starts, and at the end of February announced via Twitter...
- Siobhan Roberts
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Nov 3, 2020 · Last year, for his foundational contributions to the field, Hinton was awarded the Turing Award, alongside other AI pioneers Yann LeCun and Yoshua Bengio. On October 20, I spoke with him at MIT...
- Karen Hao
May 13, 2019 · Geoffrey Hinton is one of the creators of Deep Learning, a 2019 winner of the Turing Award, and an engineering fellow at Google.Last week, at the company’s I/O developer conference, we discussed ...
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Geoffrey Hinton is a British-Canadian cognitive psychologist and computer scientist who has contributed extensively to the field of artificial neural networks. He was born on December 6, 1947, in Wimbledon, London and he graduated with BA Hons in Experimental Psychology from Cambridge University in 1970. In 1975, Hinton got his PhD in Artificial In...2019: ACM A. M. Turing Award (jointly with Yoshua Bengio and Yann LeCun)2019: Honda Prize2019: Toronto Region Builder Award2018: Companion of the Order of Canada (Canada’s highest honour)
At 74, Geoffrey Hinton has paved the way for every artificial intelligence enthusiast. His contributions came at a time when the AI industry was still very much in its infancy. It can be said that the AI industry has become huge only in the past decade but is growing at such a rapid pace that it could soon be the most consequential technology of th...
Jun 11, 2021 · Today, for his excellence as a global pioneer in deep learning, Hinton received a Doctor of Science, honoris causa from the University of Toronto, where he is a University Professor Emeritus. Born in Bristol, England, in 1947, Hinton was in high school when he began to think about the parallels between computers and the human brain.