Geoffrey Hinton
active c. 1947, London, England
British-Canadian computer-cognitive scientist, 'godfather of deep learning': backpropagation, Boltzmann machines, AlexNet.
Hinton persisted with artificial neural networks through the 'AI winter'. He popularized backpropagation (1986, with Rumelhart–Williams), developed energy-based Boltzmann machines rooted in statistical physics, then with students built AlexNet (2012) which dominated the image-recognition competition — the start of the modern AI boom. He won the Turing Award in 2018.
Nobel-winning work
The 2024 Physics Nobel recognized 'foundational discoveries and inventions enabling machine learning with artificial neural networks': Hinton's Boltzmann machine borrows the statistical Boltzmann distribution to learn generative models without labels; combined with multi-layer backpropagation, his work produced deep learning — the basis of today's LLMs, image recognition and scientific AI.
Workplaces: University of Toronto
United Kingdom, Canada