License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.13.3.106
URN: urn:nbn:de:0030-drops-192317
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/19231/
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Bremer, Peer-Timo ; Spears, Brian ; Gibbs, Tom ; Bussmann, Michael
Weitere Beteiligte (Hrsg. etc.): Peer-Timo Bremer and Brian Spears and Tom Gibbs and Michael Bussmann

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

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dagrep_v013_i003_p106_23132.pdf (2 MB)

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.

BibTeX - Entry

@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.dagstuhl.de/opus/volltexte/2023/19231},
  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}
}

Keywords: Self-driving experiments, Smart facilities, AI models, Multimodal data, Accelerated scientific discovery, AI software stack for experiments
Collection: DagRep, Volume 13, Issue 3
Issue Date: 2023
Date of publication: 16.10.2023

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