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AI (ML) in Engineering Design: Its Status and Readiness for it

AI (ML) in Engineering Design: Its Status and Readiness for it

If you are a product design engineer, a CAE analyst, a test engineer tasked with using machine learning and wondering what that means, where you would start from; this panel will help you to navigate through your options.

In this panel session, industry thought leaders in engineering data science will discuss how machine learning will benefit the engineering design process, how to identify the right projects to apply machine learning, discuss key challenges to overcome. Whether you are a product design engineer, a CAE analyst, a test engineer, or a leader tasked with using machine learning and need to know what that means and how to get started; this panel will help you determine the right path and answer your questions. We invite you to join us for a lively discussion on this exciting topic.

Document Details

ReferenceNWC21-937-c
AuthorsKocer. F DePauw. T Karl. A Tabaddor. M Amodeo. C Steere. A Jarrett. J
LanguageEnglish
TypePresentation Recording
Date 28th October 2021
OrganisationsAltair Boeing Rolls-Royce Underwriters Laboratory Ford Boeing Kinetic Vision
RegionGlobal

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