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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.




There's plenty of academic research in machine learning.

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.




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