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| Title | Professor |
| Institution | University of Toronto |
| Address | 10 Kings College Road Toronto Ontario M5S 3G5CANADA |
| Homepage | http://www.cs.toronto.edu/~hinton/ |
| Bio | Geoffrey Hinton received his PhD in Artificial Intelligence from Edinburgh in 1978. He did postdoctoral work at the University of California San Diego and spent five years as a faculty member in the Computer Science Department at Carnegie-Mellon. He then became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto. He spent three years from 1998 until 2001 setting up the Gatsby Computational Neuroscience Unit at University College London and then returned to the University of Toronto where he is the Raymond Reiter Distinguished Professor of Artificial Intelligence. He is a fellow of the Royal Society and an honorary foreign member of the American Academy of Arts. He has been awarded the Rumelhart prize and the Research Excellence award of the International Joint Conference on Artificial Intelligence. Geroffrey Hinton was one of the researchers who introduced the back-propagation algorithm that has been widely used for practical applications. His other main contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts , Helmholtz machines, products of experts, and deep learning on unlabeled data by stacking simple learning modules. |
*Since 2006