Web Seminar: Introduction to Data-Driven Design Solutions that Shorten Design Work by One-Third
日本テクノフォート
In recent years, AI technologies, including machine learning, have been gaining attention.
Simulation technologies represented by machine learning and CAE differ in their approaches, being data-driven and model-driven methods respectively, but the structure of the problem of "predicting output results based on input values" is common to both.
By combining these two, there are expectations for speeding up predictions and applying them to the optimization of design problems.
However, in the fields of CAE and design, there are still few examples of applications utilizing machine learning.
In this seminar, we will introduce the efforts of Super Link Japan in the field of CAE regarding machine learning, along with demonstration cases of optimal design for automotive parts applying data-driven design.

Date and time | Thursday, Sep 17, 2020 03:00 PM ~ 04:00 PM |
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Capital | The class will be conducted using the video conferencing tool Zoom. If you are unable to use Zoom, please consult us. |
Entry fee | Free |
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