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physics professorQuanta Magazine
•Science
Science
79% Informative
Miles Cranmer , a physicist at the University of Cambridge , has seen AI begin to transform science.
The Polymathic AI initiative aims to develop a foundation model for scientific discovery.
Cranmer: Machine learning is bad at “out-of-distribution” prediction, and neural networks are missing.
Polymathic AI is working on scientific “foundation models” to train models on scientific data sets.
Using symbolic regression, you are giving a neural network the symbols that scientists use as a library that it can build things with.
The equations you get are very interpretable, and they tend to generalize and give you much better out-of-distribution predictions.
The downside is that these algorithms are computationally expensive.
Understanding the universe doesn’t really have an end to it. It’ll just keep going, and we’ll keep learning more and more and more..
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