AI RESEARCH
Self-Organising Memristive Networks as Physical Learning Systems
arXiv CS.LG
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ArXi:2509.00747v2 Announce Type: replace-cross Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift in how hardware is used for computational intelligence stems largely from the unsustainability of artificial neural network software implemented on conventional transistor-based hardware.