Geoffrey Hinton
Geoffrey Hinton is a British-Canadian computer scientist and University Professor Emeritus in the Department of Computer Science at the University of Toronto. He is best known for his foundational work on artificial neural networks and deep learning, including co-authoring the influential 1986 paper that popularized the backpropagation algorithm for training multi-layer neural networks. He co-received the 2018 ACM Turing Award and the 2024 Nobel Prize in Physics for his contributions to machine learning with artificial neural networks.
“Jeff Hinton's three orders of magnitude smarter than I am. Could not have been more wrong, but the actual thing that led him to make that statement and that conclusion was 100% correct... But by not thinking of that data in the real world application comes to the wrong conclusion.”
Source→“Deep learning had just been invented by Jeff Hinton and colleagues sort of in academia, but almost no one had really realized it was a big deal.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.