Neuromorphic Computing and Spiking Neural Networks (SNNs) for Ultra-Low-Power Edge Intelligence: Architectures, Learning Paradigms, and Silicon Benchmarks
Abstract—The continuous scaling of conventional Deep Neural Networks (DNNs) on classical Von Neumann architectures has reached severe physical boundaries governed by the 'memory wall' and unsustainable thermal dissipation. Battery-constrained edge computing environments—including autonomous micro-robotics, bio-implanta...
Priyanshu Dahiya, Tanish Mudgal, Vishal Shrivastava et al.
· Zenodo (CERN European Organi... · 0 citations