Geoffrey Hinton
todayOften called the 'godfather of deep learning'. Backprop, Boltzmann machines, capsule networks — most modern AI traces back to his lab.
- Backpropagation (with Rumelhart & Williams, 1986).
- AlexNet (with Krizhevsky & Sutskever, 2012) — the ImageNet moment.
- Turing Award 2018 (with LeCun and Bengio).
FAQ
What is Geoffrey Hinton best known for?
Popularising backpropagation for multi-layer neural networks (1986), the AlexNet ImageNet breakthrough (2012) that started the deep-learning era, and three decades of work that earned him a share of the 2018 Turing Award.
Why did Hinton leave Google?
In 2023 he resigned from his part-time role at Google so that he could speak freely about the risks of advanced AI. He has since become one of the most prominent senior researchers raising alarms about AI safety and catastrophic risk.
What is backpropagation?
An efficient algorithm for computing the gradient of a neural network's loss with respect to every weight. It is the mathematical engine that makes training deep networks practical, and Hinton's 1986 paper with Rumelhart and Williams made it canonical.
What is the 'godfather of deep learning' label?
A shorthand the press uses for Hinton because most modern deep-learning ideas trace back to him or his students. He has consistently declined to take sole credit, pointing out that breakthroughs are usually the work of many labs in parallel.