The reason AI has been so successful recently is that the research community has assumed a ruthlessly empirical philosophy: no idea, no matter how beautiful or interesting, is considered truly useful until it bears measurable results on some dataset. The reason neuromorphic computing gets such skepticism from AI researchers is that so far it has resisted any attempts at this kind of empiricism. No neuromorphic implementation has shown state of the art results on any important problem.
If/When neuromorphic computers show groundbreaking results, the community will pivot quickly to using them. But expecting AI researchers to show deference to neuromorphic computing because it "mimics the brain" is to ignore the empirical philosophy that has led to AI's success.
If/When neuromorphic computers show groundbreaking results, the community will pivot quickly to using them. But expecting AI researchers to show deference to neuromorphic computing because it "mimics the brain" is to ignore the empirical philosophy that has led to AI's success.