Speaker: Dr Haibin Cai, Loughborough University
Abstract: This talk provides a concise review of recent advances in big data and artificial intelligence, with a particular focus on the rapid development of large language models (LLMs) and their transformative impact across a wide range of domains. Key technical innovations will be highlighted, including Retrieval-Augmented Generation (RAG), which enables the integration of external knowledge into generative models, and ensemble strategies that leverage multiple smaller models to improve performance, robustness, and trustworthiness.
Bio: Dr Haibin Cai received his PhD from the School of Computing at the University of Portsmouth in 2018. He is currently a Senior Lecturer in the Department of Computer Science at Loughborough University, a leading public research institution renowned for excellence in science and engineering. Prior to his current position, Dr Cai held research roles at the University of Portsmouth, Loughborough University, and Imperial College London. He has developed extensive expertise in computer vision, artificial intelligence, and deep learning through his involvement in a range of research projects, including the EU FP7-funded project on robot-enhanced therapy for children with autism spectrum disorders, and the Innovate UK-funded projects. His current research interests include large language models (LLMs), human motion recognition, multisensory sensing, defect detection, and real-time deep learning-based applications.