Geoff Hinton, despite a back condition that prevents him from sitting, has spent nearly 40 years working to make computers learn like humans. His pursuit initially faced skepticism but ultimately revolutionized the field of AI. Hinton's journey involved developing neural networks, facing setbacks, and being a pioneer in the field. In recent years, advances in computing power and data availability have vindicated his work, turning Canada into an AI superpower.
Sure, here are the key facts extracted from the provided text:
1. Geoff Hinton has been unable to sit for more than 12 years due to a back condition.
2. Geoff Hinton has been working on getting computers to learn like humans for nearly 40 years.
3. Standing desks became fashionable, but Hinton was already using them.
4. Hinton walks everywhere because he can't sit in a car or on a bus.
5. Frank Rosenblatt developed the perceptron, an early neural network, in the late 1950s.
6. Rosenblatt's perceptron had limitations and put AI research on hold for about 10 years.
7. Geoff Hinton believed in the potential of neural networks when others doubted it.
8. Hinton moved to the University of Toronto in the mid-80s and made progress in deep neural networks.
9. Hinton's deep neural networks started to work better with more data and computing power.
10. Computers began to excel in image recognition, speech recognition, and machine translation.
11. Neural networks and machine learning gained widespread recognition in the early 2010s.
12. Hinton's work contributed to Canada's recognition as an AI superpower.
These facts provide a concise overview of the key points in the text.