Dr. Boris Bolliet, a cosmologist and teaching professor at the University of Cambridge, shares how cutting-edge AI is revolutionizing cosmological research. He highlights the use of multi-agent systems to analyze vast datasets, accelerating discoveries and optimizing workflows. Collaborating with Infosys, Dr. Bolliet aims to engineer groundbreaking solutions at the intersection of data, AI, and the mysteries of the universe.

Dr. James Fergusson, a theoretical cosmologist and Course Director for the MPhil in Data Intensive Science at the University of Cambridge, explains how AI is transforming cosmology. He highlights the challenges of applying machine learning and data science to large datasets, stressing the need for trust and transparency in AI results. Through partnerships with companies like Infosys, Dr. Fergusson aims to advance AI's role in both scientific research and business, driving innovation at the intersection of data, technology, and the universe.

Dr. Miles Cranmer, Assistant Professor in Data Intensive Science at the University of Cambridge, explores how AI is transforming the physical sciences. He focuses on foundation models and symbolic machine learning to enable AI systems to generalize beyond their training data. In collaboration with Infosys, Dr. Cranmer aims to develop innovative solutions at the intersection of AI, physics, and data-intensive research.

Dr. Sven Krippendorf, Assistant Teaching Professor in the MPhil in Data Intensive Science at the University of Cambridge, explores the intersection of physics and machine learning to advance AI. He focuses on improving AI’s ability to derive physical equations and understand neural network dynamics for more efficient models. Through his collaboration with Infosys, Dr. Krippendorf aims to drive innovation at the crossroads of AI, physics, and business, solving real-world challenges.

Professor Colm-cille Caulfield, Head of the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, examines how advanced mathematical models and AI are revolutionizing climate science. He addresses the challenge of predicting extreme events, such as ocean turbulence and global storms, and how AI can improve forecasting. In collaboration with Infosys, Professor Caulfield aims to develop innovative solutions at the intersection of applied mathematics, AI, and climate risk management.