It's interesting you used a Feynman reference here, as he was actually involved spawning the neuromorphic field at Caltech with Carver Mead [0]. You're thinkin

It's interesting you used a Feynman reference here, as he was actually involved spawning the neuromorphic field at Caltech with Carver Mead [0]. You're thinking about this as if it's purely an algorithm problem and that computer architecture should always be designed to do the algorithms bidding. Neuromorphic is flipping the problem around and creates efficient architecture where algorithms do the architectures bidding. The former is much better in the cloud with massive armies of general purpose computers while the latter is much better on the edge for anything implantable (very little heat can be generated or else you cook) or needs super low power (less than 1W). Having worked on both sides of the spectrum I think there's room for both and the relative research funding seems reasonable; much more invested in straightforward neural network research with GPUs etc versus the neuromorphic field where it's mostly a handful of Caltech folks left at places like Stanford, UCSD, GT, John's Hopkins, or UF. [0] https://en.m.wikipedia.org/wiki/Carver_Mead https://en.m.wikipedia.org/wiki/Carver_Mead