Name: Compute Accelerator Forum - CADNA, numerical stability; AI-augmented facilities
Start: 2023-04-26T16:30:00+02:00
End: 2023-04-26T18:00:00+02:00
Location: CERN

- 16:30 → 16:35
  
  News 5m
  
  Speakers: Benjamin Morgan (University of Warwick (GB)), Graeme A Stewart (CERN), Dr Maria Girone (CERN), Michael Bussmann, Stefan Roiser (CERN)
  
  Compute Accelerator Forum Introduction, 2023-04-26.pdf
- 16:35 → 17:30
  
  CADNA a tool for estimating numerical stability 55m
  
  Speaker: Fabienne Jézéquel (LIP6, Sorbonne University)
  
  slides_FJezequel_CERN_2023.pdf
- 17:30 → 18:00
  
  The case for AI-augmented facilities 30m
  
  AI complements human abilities in a way previous ways of computerized automation could not. While in simulation, data analytics and control the use of human written algorithms has achieved tremendous success, AI-driven methods enter areas hitherto though to be part of the human domain. From finding new patterns in data to modeling complex systems and allowing for conversational access to compute resources, AI can add to the mix of human-in-the-loop science at research facilities. We argue that this addition can help to make facilities cater better to the needs of scientific communities and single researchers alike, without relying on the persuasive allure of premature automation based on black box approaches.
  
  Speaker: Dr Michael Bussmann
  
  230426_cern_aiaugmentedfacilities.pptx

Compute Accelerator Forum - CADNA, numerical stability; AI-augmented facilities

31/S-028

CERN