GH
Geoffrey Hinton
Also known as: Geoff Hinton, Godfather of Deep Learning
Godfather of deep learning; pioneer of backpropagation, Boltzmann machines, and deep neural networks; Nobel Prize in Physics 2024; Turing Award 2018
Expert Positions2 topics
| Topic | View | Estimate | Confidence | Date |
|---|---|---|---|---|
| P(doom) | Moderate-high | 10-20% | medium | May 2023 |
| AGI Timelines | Short | 5-20 years | medium | May 2023 |
Career History5
Professor of Computer ScienceCurrent
University of Toronto
1987 – present
Program Director, Neural Computation and Adaptive Perception
Canadian Institute for Advanced Research (CIFAR)
2004 – 2023
Assistant Professor, Computer Science
Carnegie Mellon University
1982 – 1987
PhD Student
University of Edinburgh
1972 – 1978
Education
PhD in Artificial Intelligence, University of Edinburgh (1978); BA in Experimental Psychology, Cambridge University
Publications & Resources4
Distilling the Knowledge in a Neural Network
→2015PaperML Foundations
ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)
→2012PaperML Foundations
A fast learning algorithm for deep belief nets
→2006PaperML Foundations
Learning representations by back-propagating errors
→1986PaperML Foundations
No funding connections recorded.
Links
Facts9
People
Role / TitleProfessor Emeritus
Employed ByGoogle DeepMind
Biographical
Birth Year1947
EducationPhD in Artificial Intelligence, University of Edinburgh (1978); BA in Experimental Psychology, Cambridge University
Notable ForGodfather of deep learning; pioneer of backpropagation, Boltzmann machines, and deep neural networks; Nobel Prize in Physics 2024; Turing Award 2018
Social Media@geoffreyhinton
Wikipediahttps://en.wikipedia.org/wiki/Geoffrey_Hinton
Google Scholarhttps://scholar.google.com/citations?user=JicYPdAAAAAJ
General
Websitehttps://www.cs.toronto.edu/~hinton/