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Welcome to The Centre for Multimodal AI

The Centre for Multimodal AI consolidates AI research in the School of Electronic Engineering and Computer Science. It builds on the expertise of world-leading academics in the school with emphasis on the development of Machine Learning algorithms, systems and applications for the Analysis and Synthesis of Multimodal Information such as Audio, Images, Videos, and Text, and on the development of AI methodologies in the domains of Games and Decision Support Systems.

The objective of the centre is to contribute to the development of AI methods and systems that will shape the future of our economy and society, striving not only for scientific excellence but also at setting and addressing research challenges for the benefit of our society. This includes challenges around developing AI methods and systems that are Trustworthy, Ethical and Responsible, but also efficient and capable of addressing some of the major challenges in the domains of Health, Education and Digital Economy.

The centre comprises more than 50 academics and 150 researchers, hosted across 6 research entities, namely the Centre for Digital Music, the Computer Vision group, the Multimedia and Vision group, the Computational Linguistics lab, the Game AI group, and the Machine Intelligence and Decision Systems group. Several members of the Centre are Fellows of The Alan Turing Institute and/or of the Digital Environment Research Institute (DERI).

Events

News

Recent Publications

  • Scalable Evaluation for Audio Identification via Synthetic Latent Fingerprint Generation
    Bhattacharjee A Pasini M Benetos E
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Barcelona, Spain 4 May 2026 - 8 May 2026. 
    04-05-2026
  • Domain-invariant representation learning of bird sounds
    Moummad I Serizel R Benetos E Farrugia N
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Barcelona, Spain 4 May 2026 - 8 May 2026. 
    04-05-2026
  • YuE: Scaling Open Foundation Models for Long-Form Music Generation
    Yuan R Lin H Guo S Zhang G Pan J Zang Y Liu H Liang Y et al.
    14th International Conference on Learning Representations (ICLR) Rio de Janeiro, Brazil 23 Apr 2026 - 27 Apr 2026. 
    23-04-2026

View more publications »

Recent Grants

  • Advanced AI for Multi-modal Spatial Biology
    James Chapple, Greg Slabaugh, Saqib Shamim, Cleo Bishop, Jun Wang, Francesca Ciccarelli, Stuart McDonald, Ines Sequeira, James Timmons, David Leslie, Cedric John, Ahmed M. A. Sayed, Himadri Gupta, Zion Tse and Ginestra Bianconi
    £3,066,246 Biotechnology and Biological Sciences Research Council
    01-10-2026 - 30-09-2032
  • Intelligent Systems for Sound Engineering
    Josh Reiss
    £302,974 Royal Academy of Engineering
    01-10-2026 - 30-09-2031
  • Learning Multimodal Patient State Trajectories for Dynamic ICU Risk Prediction and Clinical Decision
    Muhammad Salman Haleem
    £40,314 Google LLC
    01-10-2026 - 30-09-2028

View more grants »