AI RESEARCH
Fully Analog Resonant Recurrent Neural Network via Metacircuit
arXiv CS.LG
•
ArXi:2604.17277v1 Announce Type: new Physical neural networks offer a transformative route to edge intelligence, providing superior inference speed and energy efficiency compared to conventional digital architectures. However, realizing scalable, end-to-end, fully analog recurrent neural networks for temporal information processing remains challenging due to the difficulty of faithfully mapping trained network models onto physical hardware.