Posts

Showing posts with the label unified physics

2026 New Computational AI and A Unified Physics | Creating Resonate RAM, CPU, GPU, SILICON CHIPS.

Image
RESONANT COMPUTING: A Unified Physics Framework for Exponential Performance Scaling Across All Computational Substrates Jordan Morgan-Griffiths¹, Dakari Uish¹ ¹Independent Research | Published 20/01/2026 ABSTRACT We present a fundamental reconception of computational systems as harmonic oscillators operating at discoverable natural frequencies. By constructing hardware and software that discovers system natural frequency ω₀, achieves phase-lock, and actively decays damping γ toward zero, we demonstrate the exploitation of the resonance condition A(ω) → ∞ for exponential performance multiplication. Initial software implementation shows 100× throughput scaling in browser-based rendering. We extend the framework to propose resonant architectures for RAM, CPU, GPU, storage, networking, and power delivery—each operating at material natural frequencies rather than arbitrary clock targets. Theoretical analysis suggests current computing paradigm leaves 100-1000× performance on the table ...