Skip to content

The Artificial Intelligence Modelling Lab (AIML) engages in a range of theoretical and applied research in Artificial Intelligence (AI) and Machine Learning (ML). Particular areas of interest include interactive theorem proving, formal modelling and verification, machine learning and its combination with higher level symbolic reasoning, as well as its application to healthcare and other complex, real-world domains.

Some of our Existing and Past External Engagements
Recent Events

Life-spans across the world are increasing, but this often overlooks the health-span: the period of life spent healthy and disease-free. So how do we ensure that later life is a healthy life?

During this talk, I report on progress we have made towards formalising Algebraic Quantum Field Theory (AQFT) and present formalisations in the theories of manifolds, Lie groups, and involutive algebras. I will outline a plan to quickly obtain a minimal formalisation of AQFT, suitable for the study of theorems with physical interpretation.
Speaker: Richard Schmoetten

This presentation will presentan assessment of the feasibility of predicting brain health outcomes from sleep duration derived using accelerometery data from UK Biobank.
Speaker: Matt Whelan