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DTSTAMP:20250822T115807Z
LOCATION:Room 5.0B56
DTSTART;TZID=Europe/Stockholm:20250617T150000
DTEND;TZID=Europe/Stockholm:20250617T153000
UID:submissions.pasc-conference.org_PASC25_sess125_msa249@linklings.com
SUMMARY:Disruption in Science and Engineering Happens at Scale
DESCRIPTION:Johannes Brandstetter (JKU Linz, Emmi AI GmbH)\n\nIn the era o
 f LLM models, one gets notoriously confronted with the question of where w
 e stand with applicability of large-scale deep learning models within scie
 ntific or engineering domains. The discussion starts by reiterating on rec
 ent triumphs in weather and climate modeling, making connections to comput
 er vision, physics-informed learning and neural operators. Secondly, we di
 scuss challenges and conceptual barriers which need to be overcome for the
  next wave of disruption in science and engineering. We showcase recent br
 eakthroughs in multi-physics modeling, computational fluid dynamics, and r
 elated fields.\n\nDomain: Engineering, Computational Methods and Applied M
 athematics\n\nSession Chair: Neil Ashton (NVIDIA Inc.)\n\n
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