Intellicortex
Intellicortex
This technical report introduces SPARSITRON™, a compute-governed sparse learning substrate designed to enforce hard bounds on computation while supporting continual structural adaptation. The disclosure focuses on architectural invariants, execution models, and learning dynamics rather than task-specific benchmarks.
We believe the future of AI lies not in scale alone, but in how computation is governed. Our research programme focuses on uncovering architectural invariants, defining system‑level learning laws and building machines that adapt over the long term without cost explosion.
Intellicortex publishes selected technical disclosures to advance systems research and support reproducibility. These materials are provided for research and evaluation purposes only and do not grant a license to practice any patented invention.