Artificial Intelligence

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.

Our AI researchers

This image shows an individual with orange hair interacting with a large, abstract digital mirrored structure. The structure is composed of squares in varying shades of green, orange, white, and black which are pieced together to reflect the individual’s figure. The figure's hand is extended as if pointing to or interacting with the mirrored structure. Behind the structure are streams of binary code (0s and 1s) in orange, flowing towards the digital grid.

Meet the researchers driving AI research and development in the School of Mathematics.

Applications and case studies

The image features a pixelated landscape with a stretch of grass. There is a water tower in the middle and a communication tower to the right. The image also features a small sun in teh sky and a cow/sheep. These features are all outlined in yellow boxes with percentages indicating the image recognition confidence.

Our AI researchers are transforming industries and empowering society.

Techniques and methods

A diagram depicting an artificial neural network

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.

Centre for Investing Innovation

The Centre for Investing Innovation is a strategic partnership between global asset management company Aberdeen 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 Professor Sotirios Sabanis and is hosted by the Edinburgh Futures Institute (EFI).

Centre for Investing Innovation | EFI

Contact us

To discuss working with us, please email our Business Development team:

Email the Business Development team 

Cover image credit: Toy Models I by Elise Racine | Better Images of AI (CC-BY 4.0)

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