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I am not sure why you are downvoted. Google has been doing electronic with ML for some time now : https://ai.googleblog.com/2021/02/machine-learning-for-comput

by antpls 6y ago

I am not sure why you are downvoted. Google has been doing electronic with ML for some time now : https://ai.googleblog.com/2021/02/machine-learning-for-computer.html?m=1 https://ai.googleblog.com/2021/02/machine-learning-for-compu... Python and Tensorflow work just fine for that task, the speed comes from LLVM and dedicated hardware such as TPU. The language in which the high level ML network/algorithm is specified doesn't matter much. It is always good to have several paths explored, but I'm skeptical on the Julia hype since its beginning.

ChrisRackauckas 6y ago
What it's doing is searching through circuit architectures, not accelerating the circuit simulation itself. If you have small quick circuits that's fine, but if solving the circuit once is a hard enough problem (which is true in the problems which we are targeting) then this problem would be infeasible with Google's algorithm because it relies on whatever simulator to exist. So it's just different methods targeting completely different sets of problems.
- antpls 6y ago
  Well, that was just one public blog post. I would expect Google's R&D to go beyond what they publicly present.