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on-chip-learning

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jakkarin-promsee / bio-analog-cpu

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A bio-inspired analog compute substrate that learns on-chip — online, local, and forward-only. Weights live as analog charge on capacitors (compute-in-memory); an unsupervised forward-only front (SCFF) does ~80% of the work, a small gradient-descent namer the rest. A chip-design bet, not an ML model.

research bio-inspired neuromorphic-computing continual-learning catastrophic-forgetting self-supervised-learning analog-computing local-learning in-memory-computing forward-forward compute-in-memory on-chip-learning
  • Updated Jul 4, 2026
  • Python

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