A.I. is still hard.
Especially in the real world.
Intel is adding new x86 instructions ideal for machine-learning applications to its upcoming Intel Xeon and Xeon Phi processors. The instructions are part of the AVX-512 family: they are described by Chipzilla as "vector instructions for deep learning" with enhanced word-variable precision and single precision floating-point …
This isn't A.I
This is AI 2016 buzzword of the year. It means that we can finally sort though that "big data" (buzzword 2014), generated by the InternetOfThings (buzzword 2015).
It's also an excuse for churnalists to write stories about the robot revolution. A flawed analysis even by mid 20th century tech-optimism standards.
FINALLY adverts will be relevant. Blocked but relevant.
The only difference between what these instructions do and what I was doing back in 1998 is that it's assembler. I had to use rather larger amounts of code to accomplish the same results, right down to the training of the beast. That this is found 'hard' has far more to do with the methods of teaching this subject area, which hasn't changed much at all over the last couple of decades. Just quicker to the same results.
What will be interesting is to see if they allow non-linearity in the model. That's what I was doing back then. Linear is child's play.
Always remember "AI" is just whatever people are interested in at the moment to get more out of the machine or the sales department (i.e. "Advanced Informatics"). Object-Orientation, Functional Programming, Meta-Programming and Homoiconicity were all "AI" once. I am sure that in time logic programming will be back and then we will get special instructions for that etc. etc.
That being said, wouldn't it make much more sense to have fit-for-purpose specialized hardware off-CPU, which could even do analog processing much more quickly. Sounds like someone has found a hammer...
"That being said, wouldn't it make much more sense to have fit-for-purpose specialized hardware off-CPU..."
Off CPU? Surely, you jest. That removes the possibility of them cramming it down your throat whether or not you want their AI spying on you. Or Alphabet's or Microsoft's or Yahoo's AI.
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