It bugs me when people always talk about "neuromorphic computing" and explore crazy ideas that never work and look at them in awe, but when anyone brings up a somewhat novel architecture for deep learning (nets that are being used today, successfully...) people say "that'll never work".

For example, our startup uses analog computing to achieve accuracy roughly equivalent to digital circuits, yet we're told that we're crazy? Meanwhile people dreaming about memristors are showered with grants and money....