Geoffrey Hinton is a British-born cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.
He now divides his time working for Google and University of Toronto.
He is the co-inventor of the backpropagation algorithm for training neural nets and is an important figure in the deep learning movement.
Hinton graduated from Cambridge in 1970, with a Bachelor of Arts in experimental psychology, and from Edinburgh in 1978, with a PhD in artificial intelligence.
He has worked at Sussex, University of California San Diego, 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.
Hinton taught a free online course on Neural Networks on the education platform Coursera in 2012.
Hinton joined Google in March 2013 when his company, DNNresearch Inc, was acquired. (Wikipedia)
email: hinton [at] cs [dot] toronto [dot] edu