Multimodal analytics based on Artificial Intelligence

Artificial intelligence (AI) technologies, and in particular the deep learning paradigm, are advancing at an astounding pace and appear to have the potential to significantly enhance the capabilities in a wide range of applications. Multimodal analytics aim to uncover the structure underlying the multimodal information of interest and organise it in an effective and efficient manner thus allowing end users to gain insights and actionable intelligence. Our research activities include the development of AI-based methods for multimodal classification, clustering, social network analysis, event and trend detection, and predictive analytics based on deep learning and machine learning techniques, ranging from unsupervised to fully supervised.