Earlier quoted context omitted.
What do you consider to be deep research? I agree that engineering research is not actually deep, but once you eliminate that almost all of the current (applied, and maybe theoretical too) Machine Learning work for instance is also dismissed.
That's why it's called Machine Learning and not Artificial Intelligence. It was an intentional differentiation to avoid the pure research academics who start every presentation with 'assuming infinite compute resources'. ML is an Applied Research discipline and all the better for it.
I've never been to any academic presentation where they start like that. In-fact, more often they complain about the huge compute resources in industry.