Can you give a concrete example of deep-learning techniques which have transformed a field? Something not theoretical or confined in a lab? Something which may have changed my life?
Not OP but I can speak with a small example from my previous field - coral reef ecology. It used to be standard to collect video footage and hand annotate small portions of the footage to draw up some statistics about the reef progression. Today we can collect the footage and let ml annotate the entirety of it to get much more accurate and precise statistics about the progression/recession. Not only that but we can do that on an organism basis and also see do highly local analyses. This wasn’t possible 10 years ago. I think the applications for ML outside of consumer tech are far larger than within but everyone here seems focused on that for some reason.