The Teixido-Boreal Paradigm: A Unified Theory of Topological Analytical Homeostasis for Post-Von Neumann Computing
Description
We present Topological Analytical Homeostasis (TAH), a unified computational paradigm that replaces statistical brute force with geometric constraints derived from algebraic graph theory. Grounded in the machine-verified Teixido Envelope (τ = -0.5), we propose a new class of sparse, multiplication-less architectures.
This report consolidates verified breakthroughs across six distinct domains:
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Artificial Intelligence: Achievement of an Antifragile Stability Ratio of 1.1470 on 174,933 solar events, where predictive performance improved under 30% impulse noise.
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Neuromorphic Hardware: A gate-level audit demonstrating a 52.3x reduction in logic complexity and 37x energy reduction by replacing MAC units with the Teixido-ISA (Tropical Max-Plus Logic).
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Quantum Computing: A graph-theoretic routing topology that reduces CNOT gate counts by 2.27x and circuit depth by 1.6x for Quantum Volume tasks.
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Cybersecurity: A Zero-Shot intrusion detection system achieving 97.1% Recall on zero-day DDoS vectors via Topological Contrast.
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Memory Independence: Validated 16x reduction in memory bus bandwidth, solving the High-Bandwidth Memory (HBM) shortage.
Commercial Licensing:
Proprietary hardware specifications, RTL blueprints (Verilog/VHDL), and commercial licenses for the Teixido-ISA are available.
Contact: jvteixido@liberty.edu, johnvteixido@gmail.com
Files
The_Teixido_Boreal_Paradigm__Geometric_Homeostasis_in_Computational_Architectures.pdf
Files
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Additional details
Software
- Repository URL
- https://github.com/johnvteixido/Teixido-Boreal-Forest-Paradigm
- Programming language
- Python
- Development Status
- Active