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@article{190499,
        author = {Sonawane Rushikesh Bhaskar and Hadole Prasad Jalindar and Rohom Pratiksha Shubham and Jadhav Aditya  Digambar},
        title = {Matrix Methods in Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2370-2370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190499},
        abstract = {Artificial Intelligence (AI) systems heavily rely on matrix methods derived from linear algebra.Matrices provide a structured and computationally efficient way to represent data, model relationships, and perform learning tasks. This paper explains matrix methods in AI with mathematical expressions and calculations.},
        keywords = {},
        month = {January},
        }