So tell me something....

Have AI techniques actually changed in the last 20 years, or is there just more data, better networking, better sensors, and faster compute resources now.

By my survey of the land, there haven't been any leaps in the AI approach. It's just that it's easier to tie real world data together and operate on it.

For a university, what changes when you teach? This sounds like researchers feeling like they can't churn out papers that are more like industry reports vs advances in ideas.