Lattice Resonance Intelligence (HPT-AI): Non-Statistical Computing Architecture Based on the Higgs Field Tessellation
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2026
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| _version_ | 1866901204056932352 |
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| author | Borisov, Vyacheslav |
| author_facet | Borisov, Vyacheslav |
| contents | <p>This paper introduces a novel Artificial Intelligence architecture, HPT-AI, derived from the Higgs<br>Field Tessellation (HPT) theory. Unlike classical neural networks based on probabilistic weight<br>optimization, HPT-AI utilizes the "Resonance Engine" principle. We present the core mathematical<br>logic where information is processed as mechanical strain within a simulated 14-faced Kelvin lattice.<br>By using the Borisov Invariant (Φ ≈ 5.3146) as a phase-clock, the system achieves deterministic<br>logical inference. This marks a transition from statistical "hallucinations" to deterministic physical<br>intelligence.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18374174 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Lattice Resonance Intelligence (HPT-AI): Non-Statistical Computing Architecture Based on the Higgs Field Tessellation Borisov, Vyacheslav <p>This paper introduces a novel Artificial Intelligence architecture, HPT-AI, derived from the Higgs<br>Field Tessellation (HPT) theory. Unlike classical neural networks based on probabilistic weight<br>optimization, HPT-AI utilizes the "Resonance Engine" principle. We present the core mathematical<br>logic where information is processed as mechanical strain within a simulated 14-faced Kelvin lattice.<br>By using the Borisov Invariant (Φ ≈ 5.3146) as a phase-clock, the system achieves deterministic<br>logical inference. This marks a transition from statistical "hallucinations" to deterministic physical<br>intelligence.</p> |
| title | Lattice Resonance Intelligence (HPT-AI): Non-Statistical Computing Architecture Based on the Higgs Field Tessellation |
| url | https://doi.org/10.5281/zenodo.18374174 |