Geoffrey Hinton

Geoffrey Hinton (December 6, 1947- ) is a British born informatician most noted for his work on the mathematics and applications of neural networks, and their relationship to information theory. Hinton graduated from Cambridge in 1970, with a Bachelor of Arts in Experimental Psychology, and from Edinburgh in 1978, with a Ph.D. in Artificial Intelligence. He has worked at Sussex, UCSD, Cambridge, Carnegie Mellon University and University College L... more

Geoffrey Hinton (December 6, 1947- ) is a British born informatician most noted for his work on the mathematics and applications of neural networks, and their relationship to information theory. Hinton graduated from Cambridge in 1970, with a Bachelor of Arts in Experimental Psychology, and from Edinburgh in 1978, with a Ph.D. in Artificial Intelligence. He has worked at Sussex, UCSD, Cambridge, Carnegie Mellon University and University College London. He was the founding director of the Gatsby Computational Neuroscience Unit at University College London, and is currently a professor in the computer science department at the University of Toronto. He holds a Canada Research Chair in Machine Learning. He is the director of the program on "Neural Computation and Adaptive Perception" which is funded by the Canadian Institute for Advanced Research. An accessible introduction to Geoffrey Hinton's research can be found in his articles in Scientific American in September 1992 and October... less