What prerequisite knowledge should I have and what are the best resources to learn about neuromorphic chips/computing on a deep, technical level?

I would like to understand everything from the transistor physics level all the way up to the high-level learning algorithms that such chips aim to execute.

And after learning the prerequisites, what are some good resources to learn and understand the technical concepts behind this new technology?

  • $\begingroup$ You can emulate them in software pretty easily, I'm not sure why there is hype around building them as they don't appear to offer anything which can't technically be simulated. $\endgroup$ Sep 2 '20 at 19:40
  • $\begingroup$ From what I have read, it is both much more power efficient and computationally efficient than traditional computer hardware training a neural network. $\endgroup$ Sep 2 '20 at 20:06
  • $\begingroup$ That's a long way to go what you are planning. You need atleast a degree in electrical/electronics $\endgroup$
    – user9947
    Sep 2 '20 at 22:01
  • $\begingroup$ @DuttaA is there a way to get all the knowledge and hands on experience of a electronics/electrical engineering degree without enrolling in an actual university? $\endgroup$ Sep 2 '20 at 22:48
  • $\begingroup$ Yes. But useless, since these are advanced research fields and no one will give you job without a PhD much less a normal undergraduate degree. I wrote few relevant person regarding this ai.stackexchange.com/questions/7328/… (outdated though) $\endgroup$
    – user9947
    Sep 3 '20 at 0:21

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