Mathematics is not just a tool in AI, it is the very language through which AI is constructed and understood. More than 30 of our academics are developing new AI techniques or are using AI methods in their research.There are another 50 that work in the areas of statistics, operational research, analysis, probability and computational applied mathematics who research and develop mathematical techniques that underlie the fundamental principles of AI, with a particular focus on classification problems and robustness. Cover image credit: Toy Models I by Elise Racine | Better Images of AI (CC-BY 4.0) Contact usTo discuss working with us, please email our Business Development team:Email the Business Development team Techniques and methods We offer expert advice in a number of techniques and methods including models, Bayesian statistics in AI, optimization and inverse problems, mathematical applications and other techniques. Applications and case studies Our AI researchers are transforming industries and empowering society. See examples of our work in healthcare, finance, energy, environment, manufacturing, retail, societal analysis, and teaching. Centre for Investing InnovationThe Centre for Investing Innovation is a strategic partnership between global asset management company abrdn and the University of Edinburgh. It is addressing challenges facing the investment and asset management sector, including how to improve demonstrable societal benefit. It is led by our School's Director of Knowledge Exchange, Professor Sotirios Sabanis, and is hosted by the Edinburgh Futures Institute (EFI).Centre for Investing Innovation | EFI This article was published on 2025-04-22
