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.
Dr Alice Cicirello, University of Cambridge
Talk title: Physics-enhanced machine learning in applied mechanics: why we need it and review of recent progress
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”
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.