Memristive Networks Learn by Reorganizing Themselves: When Material Is the Model
bravo_abad · x · 2026-09-20
A radical alternative to running neural nets more efficiently: self-organizing memristive networks of nanowires use the material's own dynamics as computation. Memory and nonlinearity become physical properties, enabling reservoir computing and structural self-reorganization as forms of learning.
Related event: Memristive Networks Turn the Material Itself into the Model(2 posts)→
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