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EP 192 David Krakauer on Science, Complexity and AI

The Jim Rutt Show

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The Importance of Symbolic Regression in Astronomy

There are good examples of where it hasn't been. And you just have to do some tricks. There's a cosmologist, Miles Cranmer, and he's asking the following way: Can you infer Newton's laws of motion or something more? If I give you data pertaining to dark matter and dark energy, can you give me a function that would be a Newton's law for dark energy, which we don't have? The way it works is essentially is that you take a special kind of neural net, these are called graph neural nets.

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