AI in the Natural Sciences

Professor Christopher Bishop will delve into the deep learning technology that underpins the AI revolution is advancing at an extraordinary pace, and many of the most exciting and impactful applications of this technology will be in the fields of scientific discovery. This talk will explore recent advances in AI for science and will be illustrated with examples from weather forecasting, materials design, and drug discovery.

Speaker bio

Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. After his PhD he joined the Theoretical Physics Division of Culham Laboratory where he conducted research in the theoretical physics of magnetically confined fusion plasmas. During this time, he developed an interest in machine learning and became Head of the Applied Neurocomputing Centre at AEA Technology. He was subsequently elected to a Chair in the Department of Computer Science and Applied Mathematics at Aston University, where he set up and led the Neural Computing Research Group. He joined Microsoft in 1997 and became Lab Director of Microsoft Research Cambridge in 2015. In 2022 Chris created a new organisation in Microsoft Research called AI for Science which brings together teams across Cambridge UK, Beijing, Shanghai, and Seattle, together with new labs in Amsterdam and Berlin.

Chris is the author of two highly cited and widely adopted machine learning textbooks: Neural Networks for Pattern Recognition (1995) and Pattern Recognition and Machine Learning (2006). His most recent book is Deep Learning: Foundations and Concepts which was co-authored with his son Hugh and published earlier this year. Chris is a keen advocate of public engagement in science, and in 2008 he delivered the prestigious Royal Institution Christmas Lectures, established in 1825 by Michael Faraday, and broadcast on national television. Chris was a founding member of the UK AI Council, and in 2019 he was appointed to the Prime Minister’s Council for Science and Technology.