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NeurOptimisation: The Spiking Way to Evolve

Cruz-Duarte, Jorge Mario et al.
arXiv (OAI Expanded) · Papers
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68t0790c26i-2-11i-2-6i-2-8neural-and-evolutionary-computing
The increasing energy footprint of artificial intelligence systems urges alternative computational models that are both efficient and scalable. Neuromorphic Computing (NC) addresses this challenge by empowering event-driven algorithms that operate with minimal power requirements through biologically
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