Artificial Intelligence in Science and Engineering aims to advance the development and application of artificial intelligence methodologies in solving complex, real-world problems across scientific and engineering domains. The journal provides a multidisciplinary platform for high-quality contributions that explore AI-driven innovations, from theoretical foundations to practical implementations. Topics of interest include, but are not limited to, machine learning, deep learning, data mining, computer vision, natural language processing, intelligent control systems, robotics, and hybrid AI models as applied to fields such as mechanical and electrical engineering, materials science, bioengineering, environmental science, energy systems, and computational physics and chemistry. The journal encourages submissions that demonstrate novel methodologies, interdisciplinary research, and impactful applications that push the boundaries of intelligent systems in scientific discovery and engineering practice.