Conference Agenda

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Session Overview
Session
Vendor Presentation 3
Time:
Monday, 09/Oct/2023:
5:00pm - 7:15pm

Session Chair: Martin Otter
Location: Room Oxygen


This session contains three vendor presentation:
JuliaHub
Dassault Systèmes
Claytex

Session Abstract

JuliaHub Vendor:


Automating Neural Surrogates for Machine Learning Acceleration of FMUs with JuliaSim DigitalEchoNeural surrogates are machine-learned approximations to existing models that can run >100x faster. However, establishing trust in machine learning workflows is difficult: how does one choose the neural architecture, verify that its results are accurate over the whole space, and do this in a simple testable fashion? JuliaSim's DigitalEcho is a tool that accomplishes these goals. Its new architecture has methods to adapt the data generation process on the fly in order to improve the surrogate accuracy, generate validation reports for users to understand where using the surrogate would be effective, and integrations for improving warning signals when used in industrial applications. In this talk we will show how DigitalEchos can be generated directly from FMU-based simulation binaries generated from Modelica models to create faster-running simulations which can be exported back to FMUs for usage in Modelica environments.


Dassault Systèmes:


You will discover the latest news and perspectives regarding Dymola and

underlying technologies, as well as the portfolio of libraries.

Also included: latest standards support and examples of workflows

involving native and web clients of the Dassault Systèmes offer.


Claytex


Claytex, a TECHNIA Company, delivers exceptional tools at the cutting edge of vehicle simulation covering every aspect of modelling of all vehicle types, through every stage of development, from concept and durability to real time. With over 25 years of system simulation experience using Dymola and Modelica in the Motorsport and Automotive sectors, we know that no single challenge is the same. So, we apply an adaptable, flexible, and solution-oriented approach, empowering our customers to achieve their technical and business objectives.

AVSandbox, the autonomous vehicle simulation solution developed by Claytex, is built around rFpro and provides physics-based sensor models enabling automotive manufacturers to test, develop and deploy AV solutions into the real world without compromising on safety.

Our simulation tools and services help you create a dynamic development and deployment infrastructure that unleashes the potential of AV and ADAS programmes. The power of AVSandbox, with its millimetre accurate digital twins, high fidelity vehicle dynamics and real-world, physics-based sensor modelling, brings you the precision, flexibility, and scope to test every conceivable parameter in fully deterministic, repeatable, and highly accurate scenarios – Helping to transform your vision from concept to commercialisation.




 
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