Artificial intelligence and machine learning group members
We are a team of academics exploring the nature of intelligence and building intelligent systems.
Artificial intelligence and machine learning
Our research group investigates artificial intelligence and machine learning, including the nature of intelligence and how to build intelligent systems.
Our Research Areas
- New perspectives on deep neural networks
- Efficient learning in large-scale models
- Bayesian inference and novel probabilistic approaches to machine learning
- Natural language processing and the fundamentals of large language models
- Reinforcement learning
- Probabilistic learning for computer graphics: shape modelling, tracking, sampling and transfer learning
- Knowledge representation and reasoning
- Decision-making at the interface of game theory and machine learning
- Multi-agent systems
- Robotics and autonomous systems
- Applications of AI in healthcare, the environment and the augmented human
People and Research
Find out more about us and join us at one of our seminars.
Artificial intelligence and machine learning seminars
We have an active seminar series with local, national and occasionally international speakers. We also host other relevant seminars, events & collaborations.
Prof Nello Cristianini on his book 'The Shortcut'
"Artificial Intelligence is now embedded in our tech, our infrastructure, and our lives. How did it get there? Where and why should we be concerned? And what should we do now? The Shortcut: Why Intelligent Machines Do Not Think Like Us provides an accessible explanation of the prevalent form of AI, proposing a new narrative to connect and make sense of events that have happened in the recent past. Ranging from the scientific concepts that underpin the technology to wider implications for society, it develops a unified description using tools from different disciplines, and real world examples to introduce the reader to the people who have created some of these technologies and to ideas shaping modern society. The Shortcut confronts the hidden logic of AI while preserving a space for human dignity. It is essential reading for anyone with an interest in AI, the history of technology, and the history of ideas. "
Find out more about The Shortcut
Join us
Find out how to join us as a PhD student.
Postgraduate research degrees in computer science
Find out about our PhD degrees, funding opportunities and how you can apply.
UKRI CDT in Accountable, Responsible and Transparent AI
We train the next generation of specialists with expertise in AI, its applications and its implications.
Honorary Professor Simon Prince
Simon J. D. Prince is an Honorary Professor of Computer Science and author of Computer Vision: Models, Learning and Inference, and Understanding Deep Learning.
"Deep learning is a fast-moving field with sweeping relevance in today's increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts".
Keep up to date with Understand Deep Learning News.
Find out more about Understanding Deep Learning
News and Announcements
Read more about our Artificial Intelligence and Machine Learning Academics and Students in the News.
AI poses no existential threat to humanity – new study finds
Large language models like ChatGPT cannot learn independently or acquire new skills, meaning they pose no existential threat to humanity.
AI-trained CCTV in rivers can spot blockages and reduce floods
Machine learning-equipped camera systems can be an effective and low-cost flood defence tool, researchers show
Faculty of Science delegate to host AI workshop at the One Young World global summit in Montréal
PhD student, Miles Pemberton, will host a workshop at the summit for young leaders in Montréal, exploring the applications of AI across different industries.
Research outputs
Take a look at recent papers, articles and conference contributions from our staff and students on Bath research portal.