What question did this study set out to answer?

The research aims to re-evaluate the concept of orthogonality in latent spaces within AI frameworks.

April 1, 2026Open Access

Reinterpreting Trigonometric Orthogonality and AI Latent Cyclicity

RHRishi Ruby HimeDimensional Imaging (United Kingdom)

Key Points

The research aims to re-evaluate the concept of orthogonality in latent spaces within AI frameworks.
Introduced a new interpretation of trigonometric orthogonality.
Analyzed its application in AI latent spaces.
Explored cyclical patterns present in AI models.
Demonstrated a new understanding of latent space structure.
Identified cyclical behavior in AI patterns.
Provided theoretical insights for future AI model development.

Abstract

A fundamental re-evaluation of orthogonality in latent spaces and its cyclical nature in AI. Affiliation: Mutsumi Communication Institute (623) URL: https://623communication.weebly.com

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Cite This Study

Rishi Ruby Hime (Thu,) studied this question.

synapsesocial.com/papers/69ccb78416edfba7beb898d0 https://doi.org/https://doi.org/10.17605/osf.io/e8jud

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