As someone in this space I can attest that AI teaching in most (UK) universities is generally poor on detail, abstract and behind industry by at least 3-5 years.
Not to mention that there is zero appetite from undergrads or postgrads to get into the nitty-gritty of it. To learn CNNs at the deep-dive level you need calculus, at least differentiation and integration. Calculus or even pre-calculus doesn't form part of the degree programme for most compsci BScs any more, because it is 'too hard'.
The way most students 'learn' AI is to use a method out of a Python library with near-zero understanding of how it works, and regurgitate it for an assessment.
Professorial research staff in most UK universities are light-years from AI within industry, and there's no clear path to that gap tightening, especially while universities are being run like second-rate consulting houses (don't get me started on THAT).
Not to mention that there is zero appetite from undergrads or postgrads to get into the nitty-gritty of it. To learn CNNs at the deep-dive level you need calculus, at least differentiation and integration. Calculus or even pre-calculus doesn't form part of the degree programme for most compsci BScs any more, because it is 'too hard'.
The way most students 'learn' AI is to use a method out of a Python library with near-zero understanding of how it works, and regurgitate it for an assessment.
Professorial research staff in most UK universities are light-years from AI within industry, and there's no clear path to that gap tightening, especially while universities are being run like second-rate consulting houses (don't get me started on THAT).