temporal-computing

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theomgdev / OdyssNet

Zero-hidden neural networks that solve non-linear problems through temporal depth, not spatial layers. 90.14% MNIST with 480 parameters. Intelligence is not depth — it's resonance. Time is the ultimate hidden layer. OdyssNet proves it.

machine-learning deep-learning neural-network agi pytorch recurrent-neural-networks mnist chaos-theory chaotic-systems neuromorphic-computing edge-ai temporal-computing skill-transfer parameter-efficiency zero-hidden-layers

Updated Oct 21, 2026
Python

carlosdprados / phd-thesis

Star

PhD thesis on chemically tunable polymer-electrolyte organic memristors for neuromorphic and temporal computing.

latex phd phd-thesis reservoir-computing memristor neuromorphic-computing memristive-devices temporal-computing polymer-electrolytes ion-transport fading-memory

Updated Oct 18, 2026
Python

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