This session explores advanced methods in electromagnetic computation and AI-assisted imaging algorithms. Emphasis is placed on improving computational efficiency, accuracy, and scalability in solving complex electromagnetic problems. Topics include fast solvers, inverse scattering, and machine learning techniques applied to imaging and reconstruction. The session aims to bridge traditional electromagnetic theory with modern AI technologies, fostering interdisciplinary collaboration. Researchers and practitioners are invited to present innovative approaches and discuss future directions that leverage AI to enhance electromagnetic analysis and imaging performance across various domains.