Artificial Intelligence (AI) has become one of the most important and rapidly growing technologies in the 21st century. Mathematics plays a very important role in the development and functioning of AI systems. It provides the basic tools that allow machines to recognize patterns, analyze data, make predictions, and take decisions. This research paper studies the close relationship between mathematics and artificial intelligence. It focuses on important mathematical areas such as linear algebra, calculus, probability, statistics, and optimization, which are widely used in AI models. The paper also explains how these mathematical concepts help in building machine learning algorithms, neural networks, and data-driven systems. In addition, it discusses how the role of mathematics is continuously growing in AI research, education, and future technological advancements. The study shows that mathematics is not only the foundation of artificial intelligence but also continues to develop with AI, creating new mathematical problems and research opportunities.