AI RESEARCH
Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units
arXiv CS.LG
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ArXi:2602.07518v2 Announce Type: replace-cross Kolmogoro-Arnold Networks (KANs) shift neural computation from linear layers to learnable nonlinear edge functions, but implementing these nonlinearities efficiently in hardware remains an open challenge. Here we