Symposium on the Applications of Scientific Machine Learning

On Thursday 23 November 2023 a full-day symposium on the applications of Scientific Machine Learning (SciML) will take place at CWI, Amsterdam. SciML is a rapidly emerging field in which conventional computational modeling is combined with machine learning techniques. Registration is free but mandatory (due to limited capacity), deadline 16 November.
  • Symposium on the Applications of Scientific Machine Learning
  • 2023-11-23T09:30:00+01:00
  • 2023-11-23T18:00:00+01:00
  • On Thursday 23 November 2023 a full-day symposium on the applications of Scientific Machine Learning (SciML) will take place at CWI, Amsterdam. SciML is a rapidly emerging field in which conventional computational modeling is combined with machine learning techniques. Registration is free but mandatory (due to limited capacity), deadline 16 November.
  • When Nov 23, 2023 from 09:30 AM to 06:00 PM (Europe/Amsterdam / UTC100)
  • Where Turing room, Science Park 125, Amsterdam, next to the entrance of Centrum Wiskunde & Informatica
  • Web Visit external website
  • Add event to calendar iCal

On Thursday 23 November 2023 a full-day symposium on the applications of
Scientific Machine Learning (SciML) will take place at CWI, Amsterdam. SciML
is a rapidly emerging field in which conventional computational modeling is
combined with machine learning techniques. Speakers will talk about real-world
applications of SciML (and related methods) in diverse fields, ranging from
weather forecasting to financial risk modeling and from computational
chemistry to power grid control. Lunch and drinks will be provided.

What: Symposium on the Applications of Scientific Machine Learning
When: Thursday 23 November 2023, 9:30-18:00
Where: Turing room, Science Park 125, Amsterdam, next to the entrance of
Centrum Wiskunde & Informatica
Registration: Free but mandatory (due to limited capacity), deadline 16
November.

Speaker list: Maurice Schmeits (KNMI), Judith Dijk (TNO), Drona Kandhai (ING
and University of Amsterdam), Gabrio Rizzuti (Shearwater Geoservices), Jan
Viebahn (TenneT), Jonathan Nuttall (Deltares), Rianne van den Berg (Microsoft
Research)

The full program and the registration link can be found at
https://www.cwi.nl/en/events/cwi-research-semester-programs/sciml-symposium/

The symposium is part of the Research Semester Programme on Scientific Machine
Learning organized at CWI during the fall of 2023.

Please share this invitation with any colleagues who might be interested,
Daan Crommelin & Jannis Teunissen