Decoding Deep Learning: Implications for Low Power Systems and Security

Join us to learn about deep learning and its implications for power systems and security.

the logo of AIDAN, a silhouette head with a circular maze within

Welcome to an exciting event by the Artificial Intelligence and Data Analytics Network (AIDAN) where we delve into the world of deep learning! Join us at the Clerici Learning Studio located in the Clerici Building on the Headington Campus.

Discover how deep learning impacts low power systems and security in today's tech landscape. Don't miss out on this opportunity to expand your knowledge and network with like-minded individuals. See you there!

Guest speaker: Professor Stephen Roberts

Professor Stephen Roberts is the Royal Academy of Engineering/Man Group Professor of Machine Learning at the University of Oxford. He leads the Machine Learning Research Group and co-directs the EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems. His research focuses on applying Bayesian statistics and information theory to fields such as astronomy, biology, finance, and sensor networks. He co-founded Mind Foundry, an AI company, in 2016. He is a Fellow of the Royal Academy of Engineering and a Professorial Fellow at Somerville College.