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About.txt
Startups.docx
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About
Startups
Research
Projects
Interests
Peter Bowman-Davis.
Engineering, government, venture capital.
I partner with companies building technology that pertains to life, death, autonomy, and composability.
- Conflicting Expectations: Convergence and Chaos in Simple High-Dimensional Games
- Cyclical Electromechanical Error Denial System Using Matrix Profile
- Solving IVPs with Physics-Informed-Neural-Networks
- LLM Numerical Bias Investigation
- VectorBridge: A Robust Technique for Cross-Model Embeddings Translation
In varying degrees of completion:
- LLM Numeric Bias Investigation.
- Physics-Informed-Neural-Network Demos.
- PreImage - CLI tool for Python dependency optimization.
- EdgeEmbed: Embeddings models run at the network edge for lowest-latency vector search.
- World models, neural simulation, and model-based RL.
- National security, defense technology, and OSINT.
- Lightweight ML: edge inference, model quantization, digital signals processing.
- Controls, planning, and mechatronics engineering.
- Industrial, decorative, and interior design (Ceramics, Metals, Bauhaus, Dieter Rams).
Peter Bowman-Davis 2023