AI and big data are reshaping how mathematical frameworks are applied to modern challenges. This session explores graph theory, network analysis, topological data analysis, and probabilistic modeling.
Speakers are encouraged to present novel frameworks, algorithmic innovations, and real-world applications in areas such as physics simulations, predictive analytics, and complex system modeling.
Participants can expect to learn cutting-edge techniques for handling large datasets, modeling high-dimensional systems, and integrating AI with mathematical theory, preparing them for the next frontier in computational science.