AI in Practice 

This theme within the Centre for Multimodal AI addresses the following areas:

• Health: Development of methods and systems that assist in the diagnosis, monitoring and prediction of physical, mental and social health issues, including conditions such as depression and dementia, based on data from settings such as clinical consultations, therapy or counselling sessions, medical records or social media timelines. 

• Medical Imaging and diagnosis systems: Analysis of multimodal data, including X-rays, MRI, FMRI and medical records to help in the diagnosis of diseases such as cancer; or build 3D models of organs for assisted operations (e.g,, in the domain of dentistry). 

•  Affective Computing and Human Computer Interaction: Analysis of multimodal data, including facial expressions, vocal intonation, speech, non-verbal interaction patterns and neurophysiological signals for understanding human affect, engagement and behaviour in the context of human-wellbeing and human-computer interaction.  

• Music and Audio: Audio Engineering, Computational Sound Scene Analysis, Augmented Instruments, Communication Acoustics, Music Cognition, Music Informatics, Machine Listening, Sound Synthesis & Virtual Acoustics, Generative Models of Music, Music and Audio Signal Processing 

• Games: the research allows to create better video and tabletop board games, be this for automatic generation of content, AI players to play against or alongside and to improve testing procedures for game balance and player experience. As part of the Intelligence Games and Games Intelligence EPSRC Centre for Doctoral Training, we collaborate with more than 100 members of the game industry, charities and public organizations to bring the advances of games research to the entertainment industry and other sectors.