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I think the problem is the definition of AI. It appears most in the field define it as a superset of ML, encompassing all kinds of statistical methods and data

by dx034 8y ago

I think the problem is the definition of AI. It appears most in the field define it as a superset of ML, encompassing all kinds of statistical methods and data analysis. For the general public, AI is a synonym for deep learning. When large companies speak about AI they always mean deep learning, never just a regression (probably also because many don't see a regression as intelligent). So AI in the public's perception could face a winter but much of the domain of machine learning would be unaffected.

xamuel 8y ago
>For the general public, AI is a synonym for deep learning I'd contend for the general public, AI is a synonym for machines like: HAL; The Terminator; Star Trek's "Data"; the robots in the film "AI"; and so on. We're nowhere remotely in the vicinity of that, and no-one even has any plausible ideas about how to start. A random person outside of tech probably doesn't even know what deep learning is. They might have heard of it somewhere in passing.