While deep artificial neural networks have provided breakthroughs in AI, these gains come with heavy compute and data demands relative to their biological counterparts. Neuromorphic computing aims to narrow this gap by drawing inspiration from the form and function of biological neural circuits. The past years have seen significant progress in neuromorphic computing research, with chips like Intel’s Loihi demonstrating, for the first time, compelling quantitative gains over a range of workloads.
IEEE-Affiliated Group Name: IEEE Circuits and Systems Society
URL: https://resourcecenter.cas.ieee.org/conferences/aicas-2022/CAS2022AICAS0010.html
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