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
Recent Publications
- Elisha S, Andrew M, Mariano B-D and Benetos E (2024). Classification of spontaneous and scripted speech for multilingual audio. IEEE Spoken Language Technology Workshop 2024 2 Dec 2024 - 5 Dec 2024.
02-12-2024 - Rotbei S, Tseng WH, Merino-Barbancho B, Haleem MS, Montesinos L, Pecchia L, Fico G and Botta A (2024). Evaluating impact of movement on diabetes via artificial intelligence and smart devices systematic literature review. Expert Systems with Applications, Elsevier vol. 257
01-12-2024 - Steinmetz C, Singh S, Comunit� M, Ibnyahya I, Yuan S, Benetos E and Reiss J (2024). ST-ITO: Controlling audio effects for style transfer with inference-time optimization. 25th International Society for Music Information Retrieval Conference (ISMIR) 10 Nov 2024 - 14 Nov 2024.
10-11-2024
Recent Grants
Changjae Oh
£19,751 Royal Society (01-10-2024 - 30-09-2025)
Johan Pauwels
£11,850 Ashdust UK Ltd (16-09-2024 - 15-12-2024)
Emmanouil Benetos and Aidan Hogg
£65,621 L-ACOUSTICS UK LIMITED (01-09-2024 - 28-02-2025)