个人经历
教育背景
个人简介
Geoffrey Hinton received his PhD in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie-Mellon he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science atthe University of Toronto where he is now an Emeritus Distinguished Professor. He is also a Vice President & Engineering Fellow at Google
and Chief Scientific Adviser of the Vector Institute.
Geoffrey Hinton was one of the researchers who 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. His research group in Toronto made major breakthroughs
in deep learning that revolutionized speech recognition and object
classification.
Geoffrey Hinton is a fellow of the UK Royal Society, a foreign member
of the US National Academy of Engineering and a foreign member of 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
IEEE James Clerk Maxwell Gold medal, the NEC C&C award, the BBVA
award, and the NSERC Herzberg Gold Medal which is Canada's top award in Science and Engineering
2019 ACM A. M. Turing Award