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Energy-efficient computing remains a critical challenge across the wide range of future data-processing engines--from ultra-low-power embedded systems to servers, mainframes, and supercomputers. In this Web extra at https://youtu.be/35PaR65EYa8, Karlheinz Meier from Ruprecht-Karls University in Heidelberg speaks about neuromorphic computing's concepts, achievements, and challenges at the 2016 International...
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