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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20210916T132451Z
LOCATION:Henry Dunant
DTSTART;TZID=Europe/Stockholm:20210707T123000
DTEND;TZID=Europe/Stockholm:20210707T130000
UID:submissions.pasc-conference.org_PASC21_sess143_msa284@linklings.com
SUMMARY:Recasting Brain Tissue Simulations as a Machine Learning Problem -
  Panel Discussion
DESCRIPTION:Minisymposium\n\nRecasting Brain Tissue Simulations as a Machi
 ne Learning Problem - Panel Discussion\n\nSchürmann, Awile\n\nThe panel as
 sembles the speakers of this minisymposium and will animate a discussion o
 n what can be learnt from their research for recasting other scientific si
 mulation models as a machine learning problem. More specifically, we will 
 discuss whether this approach could help reduce the time-to-solution for s
 imulating brain tissue. For example, in the panel we aim to distill what t
 ype of computational models are amenable to such a reformulation? What are
  limiting factors for employing machine learning approaches for solving si
 mulation models? How can such approximations be used in conjunction with t
 raditional numerical solvers? Are we actually making simulations faster an
 d cheaper or are we creating additional computational workloads answering 
 additional questions?\n\nDomain: CS and Math, Chemistry and Materials, Phy
 sics, Life Sciences, Engineering
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