White Paper - Deterministic Intelligence
A New Scientific Operating System
Modern AI excels at pattern recognition, but science requires more than correlation. In biology, chemistry, and medicine, systems must explain causality, remain stable under repeated reasoning, and support auditability in regulated environments.
This white paper introduces Deterministic Intelligence — a new class of computation that reasons over physical constraints rather than probabilities. By resolving constraints step by step, deterministic systems enable repeatable, mechanistic computation where probabilistic AI breaks down.
Because biological systems evolve through physical constraint resolution, models based on statistical inference discard formation history and context, limiting their reliability and generalizability. Deterministic Intelligence addresses this gap by grounding computation in first principles.
This white paper outlines the architecture and implications of Deterministic Intelligence for biology, medicine, and regulation, and is intended for scientists, technologists, investors, and policymakers seeking a rigorous foundation for computing biological systems.
See also OmnigeniQ's Frontier Thinking posts exploratory essays are published on Substack.
Who should read this
- Researchers working at the intersection of biology, computation, and physics
- Biotech and pharmaceutical leaders seeking mechanistic insight beyond screening
- Investors evaluating next-generation scientific computing platforms
- Regulators and policy leaders interested in explainable, auditable AI systems