This event is organized in collaboration with Helmholtz AI and the International Future Lab AI4EO.
In the morning, you will hear about numerical methods for physics simulations with deep learning methods in Prof. Nils Thuerey’s keynote, and about data-efficient deep learning using physics-informed neural networks in Prof. Maziar Raissi’s keynote. Later, we will discuss at a round table with Prof. Thuerey and Dr. Shijie Jiang the present and future of physics-aware machine learning.
In the afternoon, there will be a hands-on introduction to physics-aware machine learning. To end the day, the ML4Earth Hackathon will be introduced, which is scheduled to be hosted from September 22 to 25, 2023. This year's hackathon focuses on using physics-aware machine learning to model and forecast flood events.
We are looking forward to meeting you in person. However, if you can’t be there, we will also be happy to get in touch with you online. All the content and information of this course are available in the following repository: https://github.com/zhu-xlab/ML4Earth-Hackathon-2023
On-site participants should bring their laptops and a headset.
We will post specific requirements for setting up your virtual environment for your software soon. It is important to note that participants can register for one of the two events.
For the registration to the workshop please follow the link below.
https://events.hifis.net/event/909/
For the registration to the hackathon please follow the link below.
https://ml4earth23.devpost.com/