Centre for AI Fundamentals

 

Our new Centre for AI Fundamentals is a cross-disciplinary home for foundational artificial intelligence at The University of Manchester. It is a key component of a number of significant investments we have made into AI education, innovation and industrial collaboration.

We boldly focus on fundamental AI research, which includes probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop machine learning, explainable AI, ethics, privacy and security.

The fundamentals are in motion - in particular, deployment and collaboration with people are centrally important fundamental AI problems, not only post-hoc issues. We develop AI that works well with humans and in deployment.

Discover the Centre

An introduction to the Centre for AI Fundamentals.

An introduction to the Centre for AI Fundamentals.

A futuristic wave of green and orange lights.

Our research

Learn about our research and its impact on the future of AI.

Latest videos

Jack Liell-Cock: Compositional imprecise probability

Jack Liell-Cock: Compositional imprecise probability.

Chryssa Zerva: Uncertainty in NLP and beyond: quantification, interpretation, evaluation

Chryssa Zerva: Uncertainty in NLP and beyond: quantification, interpretation, evaluation.

Tolga Birdal | Topological Complexity Measures as Proxies for Generalization in Neural Networks

Tolga Birdal: Topological Complexity Measures as Proxies for Generalization in Neural Networks