Year end review of “neuromorphic” chip prototypes

MIT Technology Review today features an overview of processors that they claim are “about to narrow the gulf between artificial and natural computation—between circuits that crunch through logical operations at blistering speed and a mechanism honed by evolution to process and act on sensory input from the real world.”

Caltech’s Carver Mead pioneered “brain inspired” computing in the 1980’s, based on theoretical math and logic.  ApplySci has featured related research from The University of Zurich/ETH, DARPA, Intel, IBM, Qualcomm, and others, as well as the “deep learning” initiatives of Google and Facebook.  We anticipate and will report on advances in this space in the coming year.


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