Abstract
Join us in exploring how Large Language Models and Big Data are redefining the future of scientific discovery
The rise of Large Language Models (LLMs) and the explosion of big data are redefining how we discover knowledge. This talk explores the powerful convergence of big data analytics and LLM intelligence, highlighting how LLMs can act as scientific co-pilots to help with data processing, hypothesis generation, code automation, experimental documentation, and cross-disciplinary knowledge integration. By addressing limitations such as hallucination, energy cost, and domain adaptation, we look toward a future where human expertise and machine reasoning collaborate at scale. This synergy opens a new era of Big Science, enabling transparent, reproducible, and more creative discovery across scientific domains.
Dr. Zidong Wang
Brunel University London, UK
Biography
Zidong Wang is currently a Chair Professor at Brunel University London, UK, a Fellow of the European Academy of Sciences, a Fellow of the European Academy of Sciences and Arts, an IEEE Fellow, and the Editor-in-Chief of Neurocomputing, International Journal of Systems Science, Systems Science & Control Engineering, as well as International Journal of Network Dynamics and Intelligence. For many years, he has been engaged in research in control theory, machine learning, and bioinformatics, and has published a number of international papers in SCI-indexed journals with an H-index of 158. He is a holder of major research grants from the UK and the European Union.