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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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Volume 02, Issue 03

Published on: March 2026 2026

THE ROLE OF MATHEMATICS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Dr. Mrinal Sarma

Narangi Anchalik Mahavidyalaya Guwahati Assam India
DOI:https://doi.org/10.55041/ijcope.v2i3.145

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Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have transitioned from theoretical constructs to pervasive technologies shaping our modern world. Behind their sophisticated capabilities lies a foundational bedrock of mathematical principles. This paper explores the critical and multifaceted role of mathematics in the development, implementation, and advancement of AI and ML. We delve into core mathematical disciplines, including linear algebra, calculus, probability and statistics, and discrete mathematics, examining how each contributes to fundamental AI/ML concepts such as data representation, model optimization, learning algorithms, and decision-making processes. Furthermore, we discuss the evolving landscape of mathematical research integral to pushing the boundaries of AI, emphasizing the symbiotic relationship between mathematical innovation and AI progress. This paper aims to provide a comprehensive overview for researchers and practitioners, highlighting the indispensable nature of mathematics in understanding and developing intelligent systems.

How to Cite this Paper

Sarma, M. (2026). The Role of Mathematics in Artificial Intelligence and Machine Learning. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(03). https://doi.org/10.55041/ijcope.v2i3.145

Sarma, Mrinal. "The Role of Mathematics in Artificial Intelligence and Machine Learning." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i3.145.

Sarma, Mrinal. "The Role of Mathematics in Artificial Intelligence and Machine Learning." International Journal of Creative and Open Research in Engineering and Management 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i3.145.

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References

[1] S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, U.K.: Cambridge University Press, 2018.

[2] M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, and P. Vandergheynst, “Geometric deep learning: Grids, groups, graphs, geodesics, and gauges,” Nature, vol. 594, no. 7863, pp. 345–350, 2021.

[3] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. Cambridge, MA, USA: MIT Press, 2016.

[4] T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. New York, NY, USA: Springer, 2009.

[5] G. E. Hinton and R. R. Salakhutdinov, “Reducing the dimensionality of data with neural networks,” Science, vol. 313, no. 5786, pp. 504–507, 2006.

[6] M. I. Jordan, “Taming the world-identity beast,” Communications of the ACM, vol. 58, no. 6, pp. 78–87, 2015.

[7] D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques. Cambridge, MA, USA:  MIT Press, 2009.

[8] Y. LeCun, L. Bottou, Y. Bengio, and G. Hinton, “Deep learning,” Nature, vol. 521, no. 7553, pp. 436–444, 2015.

[9] K. P. Murphy, Machine Learning: A Probabilistic Perspective. Cambridge, MA, USA: MIT Press, 2012.

[10] J. Pearl, Causality: Models, Reasoning, and Inference, 2nd ed. Cambridge, U.K.: Cambridge University Press,    2009.

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  • •Published on: Mar 26 2026
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