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DTSTAMP:20260724T151413Z
LOCATION:Bldg. 6 - 001 - Plenary Room
DTSTART;TZID=Europe/Stockholm:20260630T113000
DTEND;TZID=Europe/Stockholm:20260630T121500
UID:submissions.pasc-conference.org_PASC26_sess134@linklings.com
SUMMARY:PD1 - Resilient Science: Sustaining Computation in a Market Optimi
 zed for AI
DESCRIPTION:What happens when the world's most powerful computers stop bei
 ng built for science?\nSupercomputing, once the quiet workhorse of climate
  models, quantum chemistry, and\nastrophysics, now fuels a global race for
  dominance in artificial intelligence and data driven\nindustries. The res
 ult: a market optimized for inference speed and low precision arithmetic,\
 nnot for 64 bit calculations to understand the physical world. As compute 
 demand explodes, so\ntoo does competition for scarce resources—chips, memo
 ry, and even trusted supply chains.\n\nThis shift poses an uncomfortable q
 uestion for researchers: how much of our digital\ninfrastructure do we tru
 ly own or control? Proprietary architectures and vendor locked\necosystems
  are eroding the openness that once defined scientific computing. Transpar
 ency\nand reproducibility—cornerstones of credible science—risk being repl
 aced by dependency\nand opacity.\n\nThis panel invites thought leaders fro
 m academia, industry, and policy to explore whether\nscience can remain so
 vereign in an increasingly commercial, constrained, and contested\ncomputa
 tional landscape. What pathways exist for developing sovereign, open, and\
 ninteroperable computing environments that preserve transparency, reproduc
 ibility, and long\nterm access? Can we rebuild trust through open standard
 s, interoperable platforms, and\ntransparent governance? Or will scientifi
 c computing become a tenant in someone else's\nsilicon empire?\n\nResilien
 t Science: Sustaining Computation in a Market Optimized for AI\n\nWhat hap
 pens when the world's most powerful computers stop being built for science
 ?<br>Supercomputing, once the quiet workhorse of climate models, quantum c
 hemistry, and<br>astrophysics, now fuels a global race for dominance in ar
 tificial intelligence and data driven<br>industries. The result: a mar...\
 n\n\nMarie-Christine Sawley (ICES Foundation), Utz-Uwe Haus (HPE EMEA Rese
 arch Lab), Yu Huang (Huawei), Peter Messmer (Nvidia Inc.), and Matthias St
 ürmer (Bern University of Applied Sciences)
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