Machine Learning for e-Science
Date and time: 30 November 2022, 09:00-17:00 CET followed by dinner
Title: Machine Learning for e-Science
Where: Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus OR Zoom
Directions: https://www.digitalfutures.kth.se/contact/how-to-get-here/
A maximum of 50 participants are onsite at the Digital Futures hub. First-come, first-served basis.
For program and registration, please go to the Machine Learning for e-Science website
Location: Zoom https://kth-se.zoom.us/j/69560887455
Meeting ID: 695 6088 7455
Password: 755440
This event is co-sponsored by Digital Futures
Machine Learning for e-Science is a workshop in connection with the Data Science MCP of the Swedish e-Science Research Centre.
In recent years, machine learning models have seen a surge of successful applications in various fields of science. One main focus in the Swedish e-Science Research Center (SeRC) activities is machine learning for e-Science, reflected in its dedicated multi-disciplinary project: Data Science MCP. SeRC Data Science MCP spans various subprojects from physics, life science, climate mathematics and computer science. This workshop is intended to present the results of these subprojects within the first round of the MCP (2018-2022) and discuss the path forward. In addition, the workshop hosts invited talks and a panel discussion on the future of ML for e-Science.
Organizers:
- Hossein Azizpour, KTH Royal Institute of Technology
- Ricardo Vinuesa, KTH Royal Institute of Technology
- Hedvig Kjellström, KTH Royal Institute of Technology