Geoffrey Hinton is an Emeritus Distinguished Professor at the University of Toronto and a Google Brain researcher. Verified email at cs.toronto.edu - Homepage. Emeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, Google. Discover the notable alumni of University Of Edinburgh. Sort by citations Sort by year Sort by title. Languages. Just better. Hinton received a Bachelor’s degree in experimental psychology from Cambridge University and a Doctoral degree in artificial intelligence from the University of Edinburgh. English Articles. Hinton had actually been working with deep learning … Dire predictions from notable AI experts further fueled fear. Quite the same Wikipedia. Geoffrey Hinton. He has been working with Google and the University of Toronto since 2013. (Johnny Guatto / University of Toronto) In 1986, Geoffrey Hinton co-authored a paper that, three decades later, is central to the explosion of artificial intelligence. machine learning psychology artificial intelligence cognitive science computer science. Bengio, Hinton, and LeCun, are sometimes referred to as … The list includes people like Charles Darwin, Alexander Graham Bell, Adam Smith, Sarojini Naidu & Gordon Brown. Title. Hinton splits his time between working as an Engineering Fellow at Google and professor at the University of Toronto’s Department of Computer Science. Notable students: Ian Goodfellow: Website: iro.umontreal.ca/~bengioy: Bengio received the 2018 ACM A.M. Turing Award, together with Geoffrey Hinton and Yann LeCun, for their work in deep learning. That professor was Geoffrey Hinton, and the technique they used was called deep learning. Added in 24 Hours. Recent. Geoffrey Hinton. Geoffrey Hinton. Sort. Geoffrey Hinton (born 1947), a British computer scientist Gerry E. Hinton (1930–2000), Louisiana state senator and pioneer of the chiropractic profession Howard Hinton (art patron) (1867–1948), Australian art patron and benefactor Geoffrey Hinton harbors doubts about AI's current workhorse. He is best known for his work on artificial neural networks (ANNs) . Articles Cited by Co-authors. Hinton has been the co-author of a highly quoted 1986 paper popularizing back-propagation algorithms for multi-layer trainings on neural networks by David E. Rumelhart and Ronald J. Williams. Improved in 24 Hours. Live Statistics. Geoffrey Hinton is VP and Engineering Fellow of Google, Chief Scientific Adviser of The Vector Institute and a University Professor Emeritus at the University of Toronto. Geoffrey Everest Hinton’s work on artificial neural networks is an English-Canadian cognitive psychologist and informatician. 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