1st paragraph suggests using Neural Networks (you know, the thing that guesses the output?) to add detail to medical scans and security footage.
Ctrl+W
btw, the reason I clicked in, was because I was curious as to how an FPGA (i.e. stuff that ends up being more expensive for any one task, as compared to ASICs[1] in turn for being reprogrammable) managed to be cost effective.
1st paragraph suggests using Neural Networks (you know, the thing that guesses the output?) to add detail to medical scans and security footage.
Ctrl+Wbtw, the reason I clicked in, was because I was curious as to how an FPGA (i.e. stuff that ends up being more expensive for any one task, as compared to ASICs[1] in turn for being reprogrammable) managed to be cost effective.
I’ll consider a GPU as loosely an ASIC ↩︎
afaik (and I don’t know much), you use fpga for a proof of concept and then you build an asic.