Advanced Research in Theoretical Computer Sciences, Mathematical & Physical Foundations of Symbiotic Intelligence
Unifying theoretical physics, formal mathematics, and advanced machine learning to build the next generation of coherent, transparent, and symbiotic intelligence.
This repository serves as the core research hub for the NeuralBlitz framework. It explores the deep intersection between theoretical computer science and physical laws, aiming to move beyond "black box" AI toward a "glass box" model grounded in verifiable logic and mathematical modeling.
🔗 Explore Advanced-Research: neuralblitz.github.io/Advanced-Research/
The research contained here focuses on creating a symbiotic intelligence framework that is coherent by design. Instead of relying solely on pattern association, we investigate how AI can utilize theorem proving and physical modeling to achieve radical transparency.
- Theoretical Physics: Applying principles of information theory, entropy, and quantum logic to neural architectures.
- Formal Mathematics: Utilizing automated theorem proving and formal verification to ensure AI decision paths are logically sound.
- AI/ML Integration: Bridging the gap between Large Language Models (LLMs) and structured mathematical reasoning.
- Mathematical Modeling: Developing complex simulations to test the "Symbiotic Intelligence" hypothesis in dynamic environments.
- MLOps for Research: Creating robust pipelines for iterative theoretical experimentation and model evaluation.
├── .github/workflows # CI/CD and automated research validation
├── Ideas/ # Exploratory research, whitepapers, and conceptual drafts
├── README.md # Project documentation and roadmap
└── [Project Scripts] # Python-based implementations of research concepts
- /Ideas: This is the heart of the repository, containing 199+ commits of evolving theories, draft algorithms, and interdisciplinary connections between physics and AI.
- Python 3.9+
- Theoretical background in Linear Algebra, Calculus, and Logic (recommended)
Clone the repository and install the research environment:
git clone https://github.com/NeuralBlitz/Advanced-Research.git
cd Advanced-Research
pip install -r requirements.txt- Languages: Python (Primary Research Core)
- AI/ML: PyTorch, JAX, Transformers
- Logic: Tools for Theorem Proving and Formal Logic
- Visualization: Custom GUI built for research transparency
We welcome researchers, physicists, and mathematicians interested in the "Symbiotic Intelligence" paradigm.
- Fork the repository.
- Explore the
Ideas/folder to understand current trajectories. - Propose changes or new research modules via Pull Requests.
- Discuss theories in the Discussions tab.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
David Riggs (NeuralBlitz)
Building the Symbiotic Intelligence Framework.
GitHub Profile | NuralNexus
“Every output is the result of a verifiable logical path.”