Professor Emeritus, University of Toronto, winner of the Turing Award (2018), and Nobel laureate (Physics, 2024)
Geoffrey Hinton is a researcher specializing in artificial intelligence and machine learning, known for his foundational work on neural networks. He earned a Ph.D. in AI from the University of Edinburgh and has held academic and research positions at Carnegie Mellon University, the University of Toronto and University College London, among others. His work has focused on developing algorithms for uncovering patterns in complex, high-dimensional data, including introducing and advancing the backpropagation algorithm, Boltzmann machines and deep belief networks. Hinton’s contributions have significantly influenced fields such as speech recognition and image classification. He also served as a vice president and an engineering fellow at Google, from 2013 to 2023.