QML-HCS: Quantum Machine Learning Hypercausal System A research-grade library for quantum-inspired machine learning with hypercausal feedback.

open-source physics python-library scientific-computing quantum-computing causal-inference causal plug-and-play quantum-physics quantum-machine-learning qiskit causal-learning pennylane hypercausal-systems adaptive-intelligence python-research-library non-stationary-learning causal-adaptation

• Updated Jan 3, 2026
• Python

Adaptive Intelligence Framework (AIF) formalizes intelligence as a boundary-regulated adaptive process. Grounded in SymC principles, it studies how systems maintain coherence under uncertainty through constraint negotiation, regulation, and phase transitions - focusing on adaptive stability rather than benchmark optimization or ML scaling.

dynamical-systems complex-systems control-theory resilience computational-modeling self-organization robustness cognitive-systems adaptive-systems phase-transitions theoretical-framework symc substrate-agnostic adaptive-intelligence intelligence-framework boundary-dynamics adaptive-stability constraint-regulation system-coherence non-ml-ai

• Updated Dec 12, 2025

Edge-Bound Autonomous Systems Self-regulated, fragmented systems that maintain stability under scale pressure while operating at the edge of capacity.

distributed-systems artificial-intelligence alignment artificial-neural-networks autonomous-systems self-regulation ai-architecture adaptive-intelligence edge-operation

• Updated Jan 23, 2026

🌐 Define intelligence through adaptive processes, focusing on stability in complex systems, with resources for research and implementation.

computer-vision deep-learning code alignment stocks coherence resilience self-organization emergent-behavior cognitive-systems cnn-classification phase-transitions theoretical-framework substrate-agnostic adaptive-intelligence intelligence-framework boundary-dynamics constraint-regulation system-coherence

• Updated Jan 24, 2026