This is a fringe event as part of AI UK 2024 and will take the form of a workshop covering the ‘Latest Developments in Physics-Informed Machine Learning’.

Flash Talks & Poster Competition

There will be an opportunity for researchers to present their work in the form of flash talks or posters. The posters will be entered into a poster competition and participants can submit poster abstracts upon registration. Please submit your abstract by the 1st of March to ensure it is considered for the poster presentations.

The event is a collaboration between The Alan Turing Institute, the Data Science Institute, the National Heart and Lung Institute at Imperial College London, the Leeds Institute for Data Analytics and the Leeds Institute for Fluid Dynamics.

Keynote Speakers

Dr Alice Cicirello, University of Cambridge

Talk title: Physics-Enhanced Machine Learning in applied mechanics: recent progress and open challenges

Prof Nathan Kutz, University of Washington and Alan Turing Institute

Talk title: Accelerating Scientific Discovery with Machine Learning

Prof Luca Magri, Imperial College London

Talk title: “Scientific machine learning to predict chaotic dynamics”

Schedule

13:00 Registration and Sandwiches

13:50 Welcome Address

14:00 Keynote 1: Prof Nathan Kutz

14:30 Flash Talks – Session 1

15:00 Coffee Break

15:30 Keynote 2: Prof Luca Magri

16:00 Flash Talks – Session 2

16:30 Break and Poster Session

17:00 Voting for Prizes

17:05 Keynote 3: Dr Alice Ciccirello

17:35 Prize Awards and Closing Address

About UK AI 2024

Hosted by The Alan Turing Institute, AI UK 2024 will be an in-depth exploration of how data science and AI can be used to solve real-world challenges. The diverse programme has been thematically structured around the latest innovations from across the AI ecosystem. With a broad range of interactive content, expect to hear the latest thinking on fundamental AI, digital twins, algorithmic bias, AI ethics – and much more.