AI RESEARCH
Brain-inspired AI for Edge Intelligence: a systematic review
arXiv CS.AI
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ArXi:2603.26722v1 Announce Type: cross While Spiking Neural Networks (SNNs) promise to circumvent the severe Size, Weight, and Power (SWaP) constraints of edge intelligence, the field currently faces a "Deployment Paradox" where theoretical energy gains are frequently negated by the inefficiencies of mapping asynchronous, event-driven dynamics onto traditional von Neumann substrates.