The University of Glasgow uses cookies for analytics. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Clarity helps us to understand our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Published: 2 July 2026
A new development in data science has given one popular machine learning tool an improved sense of place, which enables it to make more accurate predictions based on data linked to locations. Researchers from the University of Glasgow and Florida State University have found a way to overcome a key limitation of TabPFN, one of a class of AI tools known as foundation models.