eSpine: A technique to increase the usable lifetime of neuromorphic systems


In recent years, engineers worldwide have been trying to develop increasingly advanced and efficient neuromorphic computing systems, devices that mimic the neuro-biological structure of the central nervous system. Due to their bio-inspired architectures, these systems could be particularly desirable for executing machine learning (AI) algorithms and other artificial intelligence (AI) tools.





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