GEOFFREY HINTON is an AI researcher at the Gatsby Computational Neuroscience Unit, University College London, where he does research on ways of using neural networks for learning, memory, perception and symbol processing and has over 100 publications in these areas. He was one of the researchers who introduced the back-propagation algorithm that is now widely used for practical applications. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, and Helmholtz machines. His current main interest is in unsupervised learning procedures for neural networks with rich sensory input.
Geoffrey E. Hinton
AI researcher at the Gatsby Computational Neuroscience Unit, University College London