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AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)

Authors: Peer-Timo Bremer, Brian Spears, Tom Gibbs, and Michael Bussmann

Published in: Dagstuhl Reports, Volume 13, Issue 3 (2023)


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.

Cite as

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)


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@Article{bremer_et_al:DagRep.13.3.106,
  author =	{Bremer, Peer-Timo and Spears, Brian and Gibbs, Tom and Bussmann, Michael},
  title =	{{AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132)}},
  pages =	{106--131},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{3},
  editor =	{Bremer, Peer-Timo and Spears, Brian and Gibbs, Tom and Bussmann, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.13.3.106},
  URN =		{urn:nbn:de:0030-drops-192317},
  doi =		{10.4230/DagRep.13.3.106},
  annote =	{Keywords: Self-driving experiments, Smart facilities, AI models, Multimodal data, Accelerated scientific discovery, AI software stack for experiments}
}
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