NNs have absolutely revolutionized systems biology (itself a John Hopfield joint, and the AlphaFold team are reasonably likely to get a Nobel for medicine and physiology, possibly as soon as 'this year') and are becoming relevant in all kinds of weird parts of solid-state physics (trained functionals for DFT, eg
https://www.nature.com/articles/s41598-020-64619-8).
The idea that academic disciplines are in any way isolated from each other is nonsense. Machine learning is computer science; it's also information theory; that means it's thermodynamics, which means it's physics. (Or, rather, it can be understood properly through all of these lenses).
John Hopfield himself has written about this; he views his work as physics because _it is performed from the viewpoint of a physicist_. Disciplines are subjective, not objective, phenomena.