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Geoffrey Hinton

1947–present · British-Canadian

Championed neural networks through AI winters, leading breakthroughs in deep learning. Godfather of AI.

Contribution: Kept neural-network research alive through "AI winters," refining learning methods such as backpropagation and Boltzmann machines.
Helped lead the deep-learning breakthroughs that remade vision and speech in the 2010s.
Shared the 2018 Turing Award with Bengio and LeCun — often called a "Godfather of AI."
Key observations: Ideas can look dead in a field and still be right — they need compute, data, and patience.
Stacking layers lets networks learn features of features, not only flat patterns.
Researchers who train powerful systems also carry a duty to talk about risk.
Conclusions: Deep learning's success was scientific persistence plus scale, not a sudden miracle.
Backpropagation — sending error backward through layers — is the workhorse of modern nets.
Celebrate capability and ask hard safety questions in the same breath.

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