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Yes! But The Article explains what changes did they have to make to make it a dedicated processor for Neural Networks. Also, If you have time, please let me know what can I do to make the article better.

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Maybe another article - "This is your code on cpu's", this is your code on a FPGA, this is your code on an ASIC.... that kinda thing, but appreciate not many Hello World and looks folks at the fast fractals in play ASICS or dedicated CPU's, making such comparisons not that easy.

Yes the aspect that the Google affair with their TPU, more flexible, whilst not fully general purpose, I'd call them niche purpose. A decade ago we would of just called them co-processors. Time change, buzzwords change, but 8 bits will still be 8 bits.

Cool! Thanks a lot! I'll try to write on that :)

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