Sure, neural networks (which include the metastasized Deep Learning deep neural networks) were invented in the control/systems/cybernetics/computer area, but a label doesn't confer a monopoly on ideas. And that idea is essentially a cascade of logistic regressions, which is pretty easily labeled as statistical.
All this is to say that all those AI techniques that are so big in the news... you could replace those headlines with ...
AI Can Recognize Images, But Text Has Been Tricky—Until Now - Wired
Why the 'AI revolution' is really a deep learning revolution - Medium
All these could be rewritten as:
STATISTICS Can Recognize Images, But Text Has Been Tricky—Until Now - Wired
Why the 'STATISTICS revolution' is really a LOGISTIC REGRESSION revolution - MediumWhat's the point of all this?
Absolutely nothing. But AL and ML tend to be words thrown around as though they're magic. They're not magic. So using 'statistics' instead will bring some sobriety to the conversation. The things that are coming out nowadays are really cool and revolutionary and are real progress in science... but it's not some magical genius in silicon, it's just little math tricks that have built up over time. It's not some science fiction faster-than-light warp drive, it's old tech that has been optimized little by little and it only just popped over the threshold into the mainstream.
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Of course, not all cool new things in AI and ML are statistical. All the ones you hear about in the news lately are. Except the poker playing machine Libratus. There is a portion of it that involves learning from many games, but the major new process is not anywhere near what is traditionally called 'statistics'.
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