Geoffrey Hinton, 2018 Turing Award winner, Fellow of the Royal Society of the United Kingdom, Fellow of the Royal Society of Canada, Foreign Fellow of the National Academy of Sciences of the United States, Honorary Professor at the University of Toronto.
Jeffrey Hinton obtained a Bachelor's degree in Experimental Psychology from the University of Cambridge in 1970; In 1976, he was hired as a researcher for the Cognitive Science Research Program at the University of Sussex; Obtained a PhD in Artificial Intelligence from the University of Edinburgh in 1978. From 1978 to 1980, served as a visiting scholar in the Department of Cognitive Science at the University of California, San Diego; From 1980 to 1982, served as a scientific manager at the MRC Applied Psychology Department in Cambridge, UK; From 1982 to 1987, he served as an assistant professor and associate professor in the Department of Computer Science at Carnegie Mellon University; Appointed as a professor in the Department of Computer Science at the University of Toronto in 1987; Elected as a Fellow of the Royal Society of Canada in 1996; Elected as a Fellow of the Royal Society in 1998; From 1998 to 2001, he served as the founding director of the Gatsby Computational Neuroscience Department at University College London; Professor of Computer Science at the University of Toronto from 2001 to 2014; Served as Vice President and Engineering Researcher at Google from 2016 to 2023; Resignation from Google in 2023. On October 8, 2024, he was awarded the Nobel Prize in Physics.
Jeffrey Hinton is dedicated to research in neural networks, machine learning, classification supervised learning, machine learning theory, cellular neural networks, information system applications, Markov decision processes, neural networks, cognitive science, and more.