Paper
16 January 2025 Leveraging foundational mathematics for advancements in artificial intelligence
Jia Fan, Mingyang Li, Yueen Li, Lei Zhang, Zhen Wang
Author Affiliations +
Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134472O (2025) https://doi.org/10.1117/12.3054753
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
Abstract
Mathematics plays a crucial role in articulating the rationale behind artificial intelligence across various tiers. It furnishes a numerical structure for delineating cognition, sentiment, and advanced intellect. Core mathematical principle said in unraveling the underpinnings of correlation and causation within AI, facilitating innovative data exploration techniques characterized by multi-faceted, multi-central, and multi-dimensional strategies. Moreover, delving into brain-inspired computation and expansive simulations enriches comprehension of the driving mechanisms and logical connections within AI. Mathematics offers indispensable instruments for crafting novel AI frameworks and steering inventive breakthroughs in this domain.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jia Fan, Mingyang Li, Yueen Li, Lei Zhang, and Zhen Wang "Leveraging foundational mathematics for advancements in artificial intelligence", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134472O (16 January 2025); https://doi.org/10.1117/12.3054753
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KEYWORDS
Artificial intelligence

Mathematics

Logic

Evolutionary algorithms

Quantum physics

Data modeling

Algorithms

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