Quantization of parameters in neural networks is roughly analogous to introducing noise into analog signals. We’ve got good evidence that these architectures are robust to quantization - which implies they could be implemented over noisy analog signals.
Not sure who’s working on that but I can’t believe it’s not being examined.
Not sure who’s working on that but I can’t believe it’s not being examined.