Mathematical Models In Artificial Intelligence

Abstract

Artificial Intelligence (AI) is deeply grounded in mathematics, as mathematical models form the foundation for designing and understanding intelligent systems. Mathematical tools, ranging from probability theory to linear algebra, are essential for tackling complex challenges in AI. This article explores the key mathematical models that power AI technologies, particularly in areas such as machine learning, neural networks, optimization, and decision-making systems. In addition, AI is increasingly being applied in Uzbekistan to enhance public services, improve governance, and drive innovation across various sectors, further showcasing its growing impact in real-world applications.