Machine Learning, Neural Networks, Optimization, Mathematics.
derivation, see here. This last OTODSCINO has some hope — even though noise grows with additional dimensions, we can use our exponentially growing pool of transistors to compute estimates in parallel and average them together. From weak law of large numbers, we know that errors shrinks as sqrt(n)