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cs.NE2024
Genetic Motifs as a Blueprint for Mismatch-Tolerant Neuromorphic Computing
Tommaso Boccato, Dmitrii Zendrikov, Nicola Toschi +1
Mixed-signal implementations of SNNs offer a promising solution to edge computing applications that require low-power and compact embedded processing systems. However, device misma…
cs.AI2024
Neuromorphic dreaming: A pathway to efficient learning in artificial agents
Ingo Blakowski, Dmitrii Zendrikov, Cristiano Capone +1
Achieving energy efficiency in learning is a key challenge for artificial intelligence (AI) computing platforms. Biological systems demonstrate remarkable abilities to learn comple…