BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon2020//speaker//WUWQQ3
BEGIN:VEVENT
UID:pretalx-juliacon2020-C9FGPP@pretalx.com
DTSTART:20200726T140000Z
DTEND:20200726T173000Z
DESCRIPTION:Scientific machine learning combines differentiable programming
 \, scientific simulation\, and machine learning in order impose physical c
 onstraints on machine learning and automatically learn biological models. 
 Given the composibility of Julia\, it is positioned as the best language f
 or this set of numerical techniques\, but how to do actually "do" SciML? T
 his workshop gets your hands dirty.\n\nJoin via Zoom: link in email from E
 ventbrite. Backup Youtube link: https://youtu.be/QwVO0Xh2Hbg
DTSTAMP:20260721T014402Z
LOCATION:Red Track
SUMMARY:Doing Scientific Machine Learning (SciML) With Julia - Chris Rackau
 ckas
URL:https://pretalx.com/juliacon2020/talk/C9FGPP/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon2020-B3VAGU@pretalx.com
DTSTART:20200731T161000Z
DTEND:20200731T164000Z
DESCRIPTION:You might not know all of the latest methods in differential eq
 uations\, all of the best knobs to tweak\, \n how to properly handle spars
 ity\, or how to parallelize your code. Or you might just write bad code. D
 on't you wish someone would just fix that for you automatically? It turns 
 out that the latest feature of DifferentialEquations.jl\, autooptimize\, c
 an do just that. This talk is both a demo of this cool new feature and a d
 escription of how it was created for other package authors to copy.
DTSTAMP:20260721T014402Z
LOCATION:Green Track
SUMMARY:Auto-Optimization and Parallelism in DifferentialEquations.jl - Chr
 is Rackauckas
URL:https://pretalx.com/juliacon2020/talk/B3VAGU/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon2020-YYKQCW@pretalx.com
DTSTART:20200731T165500Z
DTEND:20200731T174000Z
DESCRIPTION:Dynamical modeling is arguably one of the biggest strengths of 
 the Julia programming language. With DifferentialEquations.jl\, DynamicalS
 ystems.jl\, RigidBodyDynamics.jl\, ModelingToolkit.jl\, DiffEqBiological.j
 l\, Pumas.jl\, etc. (the list keeps going)\, there are many state-of-the-a
 rt award winning projects. However\, \,what's missing? What's next? Let's 
 discuss and figure out some next steps. Join the BoF channel on Discord.
DTSTAMP:20260721T014402Z
LOCATION:BoF
SUMMARY:What's Next For Dynamical Modeling In Julia? - Chris Rackauckas
URL:https://pretalx.com/juliacon2020/talk/YYKQCW/
END:VEVENT
END:VCALENDAR
