Foundational paper introduces hybrid bio-computational architecture for improved energy efficiency, highlighting environmental implications.
The contemporary trajectory of silicon-based computational architecture is approaching an insurmountable thermodynamic wall, characterized by an unsustainable "Entropy Gap" between energy consumption and signal integrity. In this foundational paper, we introduce the Boon Grid, a hybrid bio-computational architecture operating on a strict 20-Watt biological baseline with ambient cooling. By transitioning from brute-force silicon to biological resonance, we establish a tri-layered hardware framework: (1) An immutable structural chassis utilizing programmable mycelial networks (fungal memristors); (2) A bio-electric high-speed interface integrating synthetic Nav1.2 channels and optogenetic triggers to bypass chemical diffusion latency; and (3) A "Null-Variance" operating system. We mathematically define system integrity as I(t) = ∫ [S(x) - D(x)] dx, where the entropic drift $D(x)$ is forced to zero through continuous Scan & Rewrite protocols utilizing non-destructive mRNA instruction sets and guided autophagy. This architecture provides a scalable, zero-waste substrate for neuromorphic edge computing, rendering the multi-megawatt thermal degradation of current data centers obsolete.
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Daniel Bauer (2026) studied this question.
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