Inria-DFKI 2021 European Summer School keynote
Presentation
Mihaela van der Schaar will deliver a keynote talk at the first Inria-DFKI European Summer School on AI (IDAI 2021), a series of yearly summer schools organized by the two renowned German and French AI institutes, DFKI and Inria.
Title
Why medicine is creating exciting new frontiers for machine learning and AI
Abstract
Medicine stands apart from other areas where machine learning and AI can be applied. While we have seen advances in other fields with lots of data, it is not the volume of data that makes medicine so hard, it is the challenges arising from extracting actionable information from the complexity of the data. It is these challenges that make medicine the most exciting area for anyone who is really interested in the frontiers of machine learning – giving us real-world problems where the solutions are ones that are societally important and which potentially impact on us all. Think Covid 19!
In this talk I will show how machine learning is transforming medicine and how medicine is driving new advances in machine learning, including new methodologies in automated machine learning, interpretable and explainable machine learning, causal inference, reinforcement and inverse reinforcement learning.
Location and local date/time
This event will take place online on July 20 at 09:00 CEST (08:00 BST).
About the event
The IDAI 2021 Summer School will be an online event held on July 20-23, 2021.
The program features a line-up of courses focused on two themes, Trustworthy AI and AI for Medicine, which are at the forefront of socio-economic issues related to AI. On top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer, the IDAI 2021 Summer School will be practically oriented. This will be achieved through hands-on courses and the involvement of industry practitioners and innovators.
Trustworthy AI and AI for Medicine will take place in two parallel tracks. There will be the opportunity to exchange between these two tracks.
