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Do you have any stories of how AI/DL has ignored foundational scientific problems?

I do know that my old EECS professors who have pivoted toward AI and coming from adjacent/tangential research areas, are specifically interested in theoretical and scientific clarification properties of neural networks. One of them basically has been trying to start Theoretical Machine Learning as a new discipline and approach that is sorely needed.




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