Photonics, the discipline concerning the generation, manipulation, and detection of light, is swiftly becoming a formidable foundation for high-performance computing, especially in relation to artificial intelligence. The integration of photonics and artificial intelligence provides solutions to the increasing requirements for speed, energy efficiency, and scalability in data processing systems. This chapter examines the synergistic relationship between photonics and artificial intelligence (AI), highlighting their contributions to the advancement of computing techniques, material discovery, and device innovation. The increasing demand for rapid, efficient processing systems has led to the integration of AI methodologies into photonic technologies as a transformational strategy. This chapter explores the application of AI-driven models, including deep neural networks (DNNs) and data-driven (DG) models, to optimize photonic devices, improve performance, and refine the design process in both conventional and nanophotonic systems.