DaDiSC – Data and Digital Science Community
We are collaborating with the Data and Digital Science Community to consolidate activities within these expansive fields, and to further the development, both structurally and scientifically.
Scientific Machine Learning (SciML) is a growing field in which methods and techniques from machine learning and scientific computing coalesce. SciML spans across the scientific domains of the CDS, and it is the goal of the SciML Lab to bring together CDS scientists to share their expertise, collaborate on new projects, and foster the research on scientific machine learning.
The name Scientific Machine Learning was coined in January 2018 at a US Department of Energy (DOE) Basic Research Needs workshop; see www.osti.gov/biblio/1478744.
Members of the CDS can get access to two Nvidia DGX-1. See here for more details.
HDS-LEE
We are a partner of the international graduate school HDS-LEE, which has a strong focus on Scientific Machine Learning.
European Mathematical Society
Topical Activitiy Group – Scientific Machine Learning
SciML Seminar Series
Special Semester in Machine Learning
EMS Topical Activity Group Scientific Machine Learning - 2nd Annual Meeting
If you are interested in actively participating in the SciML Lab or if you would like to subscribe to the SciML Lab's newsletter, please contact the managing coordinator of the CDS.