25 Facts About Geoff Hinton

Geoffrey Everest Hinton was born on 6 December 1947 and is a British-Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.

Geoff Hinton is viewed as a leading figure in the deep learning community.

Geoff Hinton received the 2018 Turing Award, together with Yoshua Bengio and Yann LeCun, for their work on deep learning.

Geoff Hinton was educated at King's College, Cambridge, graduating in 1970 with a Bachelor of Arts in experimental psychology.

Geoff Hinton continued his study at the University of Edinburgh where he was awarded a Ph.

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Geoff Hinton was the founding director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London and is currently a professor in the computer science department at the University of Toronto.

Geoff Hinton taught a free online course on Neural Networks on the education platform Coursera in 2012.

Geoff Hinton joined Google in March 2013 when his company, DNNresearch Inc, was acquired.

Geoff Hinton is planning to "divide his time between his university research and his work at Google".

Geoff Hinton's research investigates ways of using neural networks for machine learning, memory, perception and symbol processing.

Geoff Hinton has authored or co-authored over 200 peer reviewed publications.

In 2007 Geoff Hinton coauthored an unsupervised learning paper titled Unsupervised learning of image transformations.

Geoff Hinton was the first winner of the Rumelhart Prize in 2001.

Geoffrey E Hinton is internationally distinguished for his work on artificial neural nets, especially how they can be designed to learn without the aid of a human teacher.

Geoff Hinton has compared effects of brain damage with effects of losses in such a net, and found striking similarities with human impairment, such as for recognition of names and losses of categorization.

Geoff Hinton's work includes studies of mental imagery, and inventing puzzles for testing originality and creative intelligence.

Geoff Hinton brings these skills together with striking effect to produce important work of great interest.

In 2001, Geoff Hinton was awarded an Honorary Doctorate from the University of Edinburgh.

Geoff Hinton was the 2005 recipient of the IJCAI Award for Research Excellence lifetime-achievement award.

In 2013, Geoff Hinton was awarded an Honorary Doctorate from the Universite de Sherbrooke.

Geoff Hinton has won the BBVA Foundation Frontiers of Knowledge Award in the Information and Communication Technologies category "for his pioneering and highly influential work" to endow machines with the ability to learn.

Together with Yann LeCun, and Yoshua Bengio, Geoff Hinton won the 2018 Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

Geoff Hinton is the great-great-grandson of the mathematician and educator Mary Everest Boole and her husband, the logician George Boole, whose work eventually became one of the foundations of modern computer science.

Geoff Hinton is optimistic about AI's impact on the job market: “The phrase 'artificial general intelligence' carries with it the implication that this sort of single robot is suddenly going to be smarter than you.

Geoff Hinton believes that it'll continue to improve our lives in small but meaningful ways.

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