Understanding the science behind Hinton and Hopfield's Nobel Prize in physics

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Understanding the science behind Hinton and Hopfield's Nobel Prize in physics
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British-Canadian computer scientist Geoffrey Hinton and co-laureate John Hopfield are set to receive the Nobel Prize for physics on Tuesday in Stockholm.

The pair landed the accolade because they used physics to develop artificial neural networks, which help computers learn without having to program them.

Hinton and Hopfield's path to the Nobel began when Hopfield, who is now a professor emeritus at Princeton University, invented a network in 1982 that could store and reconstruct images in data. This means if a computer was shown, for example, a photo of dog where only part of the animal was visible, it could use the network to piece together the missing part of the image and recognize it was depicting a dog.

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