Turing Award Winner; Emeritus Professor of Computer Science at the University of Toronto where he is now an emeritus professor; VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute. He is known to have introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning, major breakthroughs in deep learning that revolutionized speech recognition and object classification.
Geoffrey Hinton is a fellow of the UK Royal Society and a foreign
member of the US National Academy of Engineering and the American
Academy of Arts and Sciences. His awards include the David
E. Rumelhart prize, the IJCAI award for research excellence, the
Killam prize for Engineering, the IEEE Frank Rosenblatt medal,
the NSERC Herzberg Gold Medal, the IEEE James Clerk Maxwell Gold
medal, the NEC C&C award, the BBVA award, the Honda Prize and the Turing Award.