AwareLiquid — MT-LNN with cloud-augmented memory, deliberation router, capsule v2, and Φ̂ reasoning trace. Improved successor to O1 (clean MT-LNN prototype).
-
Updated
Jul 13, 2026 - Python
AwareLiquid — MT-LNN with cloud-augmented memory, deliberation router, capsule v2, and Φ̂ reasoning trace. Improved successor to O1 (clean MT-LNN prototype).
MT-LNN — clean prototype of a brain-inspired liquid neural network (constant-memory recurrent state, O(1) generation cache). Early baseline; active development continues at github.com/everest-an/M1 (AwareLiquid).
Patent-scoped reference implementation for TÜRKPATENT 2026/007632. 17 hazard-based spiking neuron models (TH-LIF, L-TH-LIF, BH-LIF + physics & architecture variants), custom CUDA kernel with analytic natural gradient, and Arty A7-35T FPGA validation (171 LUT, ≤240 pJ/step, bit-exact across 5 references).
Add a description, image, and links to the liquid-neural-network topic page so that developers can more easily learn about it.
To associate your repository with the liquid-neural-network topic, visit your repo's landing page and select "manage topics."