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TIL: it's not just buzzwords. https://en.wikipedia.org/wiki/Fusion_power#Machine_learning
AI is not a buzzword, try beating Go without machine learning. Just ignore the whole enterprise speak, and you'll see a lot of really cool things which are possible almost only by means of neural nets.
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https://en.wikipedia.org/wiki/Feature_(computer_vision)#Dete...
None of those work for many common cases - which is why CNN’s revolutionized actual use of computer vision.
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Almost every technology buzzword is based on something interesting and useful that then gets used in as many unsuitable applications as possible.
I really like idea of blockchains and think it's a pretty clean and clever solution for many problems outside of crypto.
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AI is not a buzzword, try beating Go without machine learning. Just ignore the whole enterprise speak, and you'll see a lot of really cool things which are possible almost only by means of neural nets.
Genuinely curious what you mean by "beating Go". Do you mean "beating exceptional human Go players"?
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None of those work for many common cases - which is why CNN’s revolutionized actual use of computer vision.
I'm not sure why are you arguing with me, my point was what was the historical reality at the time. Machine vision used feature detectors, cellphones had keyboards, teenagers wore low cut jeans.
CNN’s literally changed the game.
It’s like talking about cell phones, so we attempt to compare [https://en.m.wikipedia.org/wiki/Motorola_DynaTAC] and a modern flagship Apple or Samsung smart phone. Technically they can both make mobile phone calls, yes.
And it isn’t really wrong to compare them.
Technically, if we limit the specific scope of what we’re comparing and squint a lot, and avoid the context, they’re equivalent.
But they aren’t really the same type of thing either, eh?
In fact, if we take a broader view, the Motorola DynaTAC was a portable radio connected to the phone system, not what we’d call a phone.
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Like what?
Anything requiring keeping an immutable track of provenance, for instance.