Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications
Read:: - [ ] Ji et al. (2024) - Energy-aware bio-inspired spiking reinforcement learning system architecture for real-time autonomous edge applications ➕2024-10-14 !!2 rd citation todoist Print:: ❌ Zotero Link:: Zotero Files:: attachment Reading Note:: Web Rip:: url:: https://pubmed.ncbi.nlm.nih.gov/39376537/
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Mobile, low-cost, and energy-aware operation of Artificial Intelligence (AI) computations in smart circuits and autonomous robots will play an important role in the next industrial leap in intelligent automation and assistive devices. Neuromorphic hardware with spiking neural network (SNN) architect …