Author: Dr. Shibendu Midya
DOI Link: https://doi.org/10.70798/Bijmrd/03110039
Abstract: Mathematics and Artificial Intelligence (AI) are among the most influential forces shaping contemporary science and technology. Artificial Intelligence, which refers to the ability of machines to imitate human intelligence and decision-making processes, depends fundamentally upon mathematical reasoning and computational structures. Mathematics provides the theoretical framework that enables machines to learn, analyze, predict, and solve problems efficiently. In recent decades, the rapid growth of machine learning, robotics, neural networks, data science, and automation has strengthened the relationship between mathematics and AI. This research article examines the role of mathematics in the development and advancement of artificial intelligence from a modern perspective. The study discusses the historical evolution of AI, the importance of mathematical thinking in computational systems, the role of logic and algorithms, and the application of AI in various sectors including healthcare, education, industry, communication, and scientific research. The article also explores ethical concerns, educational implications, and future prospects of AI. Through analytical discussion, the study demonstrates that mathematics acts as the intellectual foundation of artificial intelligence and continues to guide innovation in the modern world.
Keywords: Artificial Intelligence, Mathematics, Machine Learning, Algorithms, Data Science, Technology, Modern Mathematics, Computational Intelligence.
Page No: 304-311