International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 6
November-December 2025
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Bridging Dimensions: The Intersection of Artificial Intelligence and the Special Theory of Relativity
| Author(s) | P. Sobha Latha, Y. Jnapika |
|---|---|
| Country | India |
| Abstract | Artificial Intelligence (AI) and the Special Theory of Relativity (STR) have united to form a new multidisciplinary area that combines the relativistic structure of space-time with computational intelligence. This study looks at how AI can be used to describe, simulate, and analyze relativistic phenomena. On the other side, we look at how the relativistic restrictions of time and space influence the design and operation of intelligent systems, particularly in space-based and high-velocity applications. Theory implications, future relativistic AI system frameworks, and practical applications including quantum communication protocols, relativistic sensor networks, and self-navigating spacecraft are all examined. While AI and Special Relativity appear to be diametrically opposed, their mathematical foundations, particularly those involving tensors and space-time, suggest potential synergies. This synthesis creates new opportunities for space exploration, computer science, and physics study. The traditional boundaries of AI and the Special Theory of Relativity are being challenged by their interaction. |
| Keywords | Relativistic Computation, Space Exploration, Quantum Communication, Autonomous Systems, Time Dilation, Lorentz Transformations, Artificial Intelligence, Special Theory of Relativity, Intelligent Agents |
| Published In | Conference / Special Issue (Volume 7 | Issue 5) - One Day National Seminar on “Computational Science: The Intersection of Math, Physics, Chemistry and Computer Science” (SVGASCA-2025) (October 2025) |
| Published On | 2025-10-08 |
| DOI | https://doi.org/10.36948/ijfmr.SVGASCA-2025.1104 |
| Short DOI | https://doi.org/g9543h |
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E-ISSN 2582-2160
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