It’s good for paper publication, and for public sector. Take an obscure area of math and throw it against latest trend.
It’s a question if it’s useful.
Re:The Modern Mathematics of Deep Learning
by SubiculumCode on Saturday June 12, 2021 @10:14PM
(#27489203)
It can be useful for innovation in the aggregate.
I've seen differential equations, Markov chains, differential geometry and other stuff. We might be in heady days before the "big breakthrough" is made. But these constructs might be inherently pathological (even then, non-pathological variants might be possible).