The Septenary Unitary Conversion (SUC): A Blueprint for AI Optimization and Data Compression

This technical manuscript presents the Septenary Unitary Conversion (SUC) protocol based on the Universal Rule of Seven. It provides a mathematical framework for data dimensionality reduction, lossless unitary compression, and optimization of AI neural networks using Base-7 modular arithmetic.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-26
DOI
https://doi.org/10.5281/zenodo.19777195
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

The Septenary Unitary Conversion (SUC): A Blueprint for AI Optimization and Data Compression

Gautam Pal
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
article

The Septenary Unitary Conversion (SUC): A Blueprint for AI Optimization and Data Compression

Gautam Pal
article en

Abstract

This technical manuscript presents the Septenary Unitary Conversion (SUC) protocol based on the Universal Rule of Seven. It provides a mathematical framework for data dimensionality reduction, lossless unitary compression, and optimization of AI neural networks using Base-7 modular arithmetic.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Neural Networks and Applications
DOIOpen Access PDFOpenAlex
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