The Prob_AI Hub aims to bring together researchers in Applied Mathematics, Probability, and Statistics to tackle challenges in probabilistic AI.
This initiative is motivated by the observation that many fundamental problems in AI could benefit from expertise in these disciplines. These include understanding deep neural networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making AI models more interpretable and reliable by incorporating known constraints or physical properties.
The Hub is dedicated to advancing probabilistic AI by fostering interdisciplinary collaboration.
The European Laboratory for Learning and Intelligent Systems (ELLIS) is a European research network advancing machine learning and AI through researcher collaboration, scientific exchange and training future scientists, aiming to strengthen research and its societal contribution.
Based at the University of Manchester, the ELLIS Unit Manchester unites researchers in probabilistic machine learning, AI foundations and natural language processing, emphasising healthcare and biology applications. Through interdisciplinary collaboration and industry partnerships, it translates fundamental methodological advances into practical solutions benefiting science and society.
The London Mathematical Society (LMS) is a UK learned society dedicated to advancing mathematical research and sharing mathematical knowledge nationally and internationally.
Through its publications, research grants and scientific meetings, the Society enables mathematicians to exchange ideas, develop collaborations and explore new research directions. It also provides training and funding opportunities for early career researchers, supporting the next generation of mathematicians.
The LMS promotes wider appreciation of mathematics through public lectures and engagement with policymakers, highlighting its importance to education, scientific progress and society.
j-ISBA, the junior section of the International Society for Bayesian Analysis, supports students and early career researchers in Bayesian statistics. Through conferences, workshops and mentoring, it promotes research exchange, collaboration and connections with the wider Bayesian community. » Learn more