Transparent cognitive sandbox: Raise digital squids - watch brains grow & rewire themselves through Hebbian learning & Neurogenesis

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

NUMA-distributed weight banking for LLM inference on IBM POWER8. 147 t/s (8.8x stock). Part of the Proof of Physical AI stack.

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

ShaprAI — Agent Sharpener by Elyan Labs. Sharpen raw models into principled, self-governing Elyan-class agents. Requires beacon-skill, grazer-skill, atlas, RustChain.

Code for paper NeurIPS AMHN 2023

Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.

In this project, I used Hebbian, Perceptron, Adaline, MultiClassPerceptron and MultiClassAdaline neural networks to implement X and O character recognition.

Create and Evolve AI animal robots

In this project, I used Hebbian, Perceptron and Adaline neural networks to implement AND gate, and OR gate.

Evolve Robotic Animats in a Simulation of Nature

the dario equation formula, embodied

hebbian learning for sequential generation

Convert raw language models into principled, self-governing Elyan-class AI agents with identity coherence and ethical operation.