That's interesting. What would the circuit be?
> Digital NN will need lots of memory transfers to bring weights from RAM to ALU, and to store intermediate results.
That's not necessarily the case. Cellular neural networks were proposed long ago, for example, and they're digital -- how multiplication happens is independent from the data flow architecture.
> That's why a properly implemented analog NN will always consume much less power.
How do you know that the I^2 cost of operating in the linear regime isn't excessive? I'm totally ignorant on the matter -- I'd love to see a ballpark calculation to understand why it isn't important.