The scope of the 2nd International Conference in "Artificial Intelligence Techniques in Mathematics and Applied Sciences" encompasses a wide range of topics at the intersection of artificial intelligence (AI), mathematics, and various applied sciences. The conference aims to explore the synergies between AI techniques and mathematical methodologies, with a focus on their applications in different scientific fields. Some of the key areas covered within the scope of the conference include: Machine Learning and Deep Learning: Exploring advanced machine learning algorithms and deep neural networks for solving mathematical problems and optimizing scientific processes. Data Science and Analytics: Discussing the use of AI techniques in analyzing large datasets, extracting valuable insights, and making data-driven decisions in mathematical and scientific research. Optimization and Operations Research: Presenting AI-based optimization algorithms and techniques for solving complex mathematical optimization problems in various domains, such as logistics, finance, and engineering. Computational Mathematics: Addressing the integration of AI methods with traditional computational mathematics approaches for solving numerical problems, differential equations, and mathematical modeling. Artificial Intelligence in Scientific Research: Examining how AI can enhance scientific research methodologies, including experimental design, hypothesis testing, and knowledge discovery in diverse scientific disciplines. Applications in Engineering and Technology: Showcasing AI applications in engineering fields such as robotics, control systems, image processing, and signal analysis, highlighting their mathematical foundations and computational techniques. Mathematical Modeling and Simulation: Presenting AI-driven approaches for developing mathematical models, conducting simulations, and predicting outcomes in complex systems across various scientific domains. Interdisciplinary Collaboration: Promoting interdisciplinary collaboration between mathematicians, scientists, engineers, and AI researchers to address real-world challenges and foster innovation in both theoretical and applied contexts. Overall, the conference serves as a platform for researchers, academics, and practitioners to exchange ideas, share insights, and explore the latest advancements in leveraging AI techniques to advance mathematics and applied sciences.