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Deep Learning for Real-Time Design: The Formula 1 Case
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"Deep Learning for Real-Time Design: The Formula 1 Case"

This report will show the impact of Deep Learning (AI) on design using Neural Concept Shape.

Formula One has been chosen as a benchmark due to the extreme demands of this highly technical competition. It is crucial to use CAE simulation for design. However, wait time, and required skills may become impractical. We will show how wait time can be reduced from hours to a few milliseconds.

The core technology is Neural Networks that learn to predict the output of physical simulations (e.g. CFD, thermal simulation, stress, crash, electromagnetics) or test lab data. Neural Concept Shape can be used as a complement to the traditional simulation and experimental methods to dramatically accelerate and reduce the design conception pipeline.


Offered Free by: Engineering.com and Neural Concept
See All Resources from: Engineering.com and Neural Concept

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