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FREE WEBINAR Aug. 15: Machine Learning and Model Calibration for Simulations and Digital Twins

In this webinar, learn how machine learning can help engineers bypass the need to run full-scale simulations, and see a live demo of the SmartUQ solution.

In this webinar, learn how machine learning can help engineers bypass the need to run full-scale simulations, and see a live demo that includes setting up machine learning models, conducting sensitivity analysis, and model optimization with SmartUQ.

DATE: August 15, 2024
TIME: 03:00 PM EDT/ Noon PDT

As part of a growing shift toward digital engineering, the use of simulation and digital twins is gaining momentum in aerospace, defense, automotive, industrial machinery, and semiconductor industries.

The latest trend is to use machine learning methods to develop surrogate models to bypass the need to run full-physics simulation, saving time and computing costs.

Join our webinar with a LIVE demo. SmartUQ’s principal application engineer, Gavin Jones, will show you how to:

  • Run space filling Design of Experiments (DOEs)
  • Set up machine learning models
  • Conduct sensitivity analysis
  • Understand uncertainty propagation
  • Do statistical calibration (Frequentist and Bayesian)
  • Optimize your models to account for the uncertainty

You can register for the webinar here.

Speakers:

Gavin Jones
Principal Application Engineer, SmartUQ

Moderator: Kenneth Wong
Senior Editor, Digital Engineering

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