Artificial Intelligence

    

Visual Space, Neural Networks, and AI Algorithm Models

Authors: Taiwei Song

This paper briefly discusses the concept of visual space discovered by the author [1-4], its transformation equation with the natural space-time, and points out that this transformation relationship is the key algorithm for AI embodied agents to automatically recognize the surrounding "world". It also briefly demonstrates that neural networks inherently possess the properties of "iterative convergence" and "self-learning evolution", and the "emergence of intelligence" in large AI models based on neural networks is inevitable.

Comments: 4 Pages. 4

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Submission history

[v1] 2026-06-06 14:18:10

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