Ethan Siegel at Big Think:
When most of us think of AI, we think of chatbots like ChatGPT, of image generators like DALL-E, or of scientific applications like AlphaFold for predicting protein folding structures. Very few of us, however, think about physics as being at the core of artificial intelligence systems. But the notion of an artificial neural network indeed came to fruition first as the result of physics studies across three disciplines — biophysics, statistical physics, and computational physics — all fused together. It’s because of this seminal work, undertaken largely in the 1980s, that the widespread uses of artificial intelligence and machine learning that permeate more and more of daily life are available to us today.
More here.
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