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DTSTART:20251026T030000
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DTSTART:20260329T030000
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SUMMARY:Bringing Scientific Machine Learning to Industrial Digital Twins w
 ith Dyad and Ansys TwinAI - Edward Carman
DTSTART;TZID=Europe/Berlin:20260814T123000
DTEND;TZID=Europe/Berlin:20260814T124500
DTSTAMP:20261009T181014Z
UID:pretalx-juliacon-2026-BR3CQM@pretalx.com
DESCRIPTION:Digital twins are evolving from simulation models into adaptiv
 e\, continuously improving representations of real systems. This talk intr
 oduces Ansys TwinAI™\, part of the Synopsys portfolio\, and outlines how
  the integration of JuliaHub's Dyad brings Scientific Machine Learning (Sc
 iML)\, differentiable programming\, and physics-informed artificial intell
 igence into digital twin workflows. We will highlight the value of hybrid 
 digital twins and present representative engineering use cases.
LOCATION:Alte Mensa — Audi Max
URL:https://pretalx.com/juliacon-2026/talk/BR3CQM/
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