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A Conversation Between Terry Sejnowski & Stephen Wolfram (February 14, 2023) [Part 1]

The Stephen Wolfram Podcast

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The History of Neural Networks

Hebb imagined that you would learn things by virtue of recirculating that information through this neural net. In modern networks with a lot more connections, it's not a simple chain, but it has in the recurrent network, you can like it reverberates - analogy with physics. Well, Fukushima in Japan, who was working for the, I think the television company at the time, had this idea of just building it and he didn't get very far because computers were incredibly slow. But no, but nonetheless, he had the concept and he was given the Franklin prize a couple of years ago to recognize his pioneering work.

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