THE ROLE OF MATHEMATICAL ALGORITHMS IN ARTIFICIAL INTELLIGENCE
Keywords:
Artificial intelligence, mathematical algorithms, machine learning, optimization, data analysisAbstract
Artificial intelligence (AI) has become one of the most influential technologies in modern society, and mathematical algorithms form the foundation of its development and functionality. This article examines the role of mathematical algorithms in artificial intelligence and their contribution to data processing, learning, and decision-making processes. Using a qualitative analytical approach, the study reviews existing literature and selected applications of AI algorithms, including linear algebra–based methods, optimization techniques, probability theory, and statistical learning models. The results indicate that mathematical algorithms enable machines to identify patterns, learn from data, and make accurate predictions. They play a crucial role in machine learning, deep learning, computer vision, and natural language processing. The discussion highlights that the effectiveness of AI systems largely depends on the choice, accuracy, and efficiency of the underlying mathematical algorithms. In conclusion, the article demonstrates that mathematical algorithms are essential to the advancement of artificial intelligence, supporting innovation and expanding the practical applications of intelligent systems across various domains.
References
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
Bishop, C. M. (2006). Pattern Recognition and Machine Learning. Springer.
Mamalatipov O., Shahobiddin K. STAGNATION IN THE RITZ AND GALYORKIN METHODS //International Bulletin of Engineering and Technology. – 2023. – Т. 3. – №. 5. – С. 17-22.
Yo‘ldoshaliyev A. S., Mamalatipov O. M. STRUCTURAL GEOLOGY AND TECTONICS //Journal of Universal Science Research. – 2024. – Т. 2. – №. 1. – С. 50-59.
Salimjon o‘g Y. A. et al. IMPROVEMENT OF METHODS OF GEOLOCATION MAP FOR MONITORING OF CLUSTER ACTIVITY OF REGIONS AND DEVELOPMENT OF THE BASIS OF WEB CARDS //" RUSSIAN" ИННОВАЦИОННЫЕ ПОДХОДЫ В СОВРЕМЕННОЙ НАУКЕ. – 2023. – Т. 9. – №. 1.
