Out of curiosity, are they using any of his underlying ML techniques to analyze imaging/other data collection before using it in actual physics models?
Well, just about every data analysis technique ever invented has been applied in physics somewhere. I wrote my undergraduate thesis on applying a genetic algorithm to electron-atom scattering in particle detectors, a topic which I recall someone had already tried neural networks on.
That’s what I’m wondering. It’s not wild to give him a prize in physics if his techniques led to advancement in physics.
“CS is applied math, not applied physics” like physics isn’t just applied math to model real world data is kind of weird, especially if his particular math actually got used in physics. That’s pretty much what calculus was.
I don’t think that Donald Knuth deserves a physics prize for inventing TeX, even though TeX was a massive contribution to how we communicate physics.