Final paper outlines unified equations and hardware projections, demonstrating AI applications and efficiency gains.
Final paper in the eight-paper Tensor-Native Semantic Computing (TNSC) series. Presents three contributions: (1) the Master Equation of TNSC unifying all prior layers into a single formula; (2) quantitative hardware projections showing 20x PCIe reduction and 18x VRAM reduction on hardware as old as the GTX 1060 6GB with no hardware changes; (3) a formal proof that TNSC principles apply isomorphically to AI inference and rendering workloads. Includes a complete cross-reference index mapping every equation in the series to its origin paper.
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Elizeu Almeida Prudente (2026) studied this question.
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