DagRep.13.3.106.pdf
- Filesize: 2.49 MB
- 26 pages
Document
AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 13, Issue 3
Volume: Dagstuhl Reports, Volume 13
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-10-16
Cite As Get BibTex
Peer-Timo Bremer, Brian Spears, Tom Gibbs, and Michael Bussmann. AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132). In Dagstuhl Reports, Volume 13, Issue 3, pp. 106-131, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/DagRep.13.3.106
Abstract
In the last week of March 2023, Schloss Dagstuhl hosted a Dagstuhl Seminar on "AI-Augmented Facilities: Bridging Experiment and Simulation with ML". The seminar brought together experimental and computational scientists, experts on edge and HPC computing, and machine learning and computer science researchers to jointly develop a strategic vision on how to move towards AI-augmented facilities in a unified manner. The goal was to suggest a common research agenda with an emphasis on areas where joint efforts are needed for future progress. Starting with some overarching perspectives the seminar was dominated by lively discussions that resulted in a strategic write-up to be published separately.
Subject Classification
ACM Subject Classification
- Applied computing → Physical sciences and engineering
- Computing methodologies → Machine learning
- Computer systems organization → Embedded and cyber-physical systems
- Mathematics of computing → Probability and statistics
- Information systems → Data management systems
Keywords
- Self-driving experiments
- Smart facilities
- AI models
- Multimodal data
- Accelerated scientific discovery
- AI software stack for experiments
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads