How does Deep Learning revolutionize Engineering Design Processes : an Automotive Use-Case

In the Automotive industry, now more than ever with Vehicle Electrification, the everlasting challenge is to increase the speed and the efficiency of the product design development while limiting costs.

Artificial Intelligence, more particularly Deep-Learning, is gaining popularity to redefine how quickly new products can be engineered and brought to the market. The technology is known to accelerate simulation workflows by decreasing the iterations between teams and leveraging existing data.

Does Deep-Learning realistically solve the "speed VS quality" trade-off?

In this webinar, engineering experts Thomas von Tschammer (Neural Concept) and Anthony Massobrio (Intelligent Simulation) will present a practical Automotive Use-Case and reply to the following questions:

➡️ How to integrate Deep Learning in existing Engineering processes?
➡️ How can companies leverage CAD/CAE data generated as part of the standard design process?
➡️ How can I answer faster to customers while keeping an accurate level of technical information?
➡️ Can AI be helpful even if I don’t have a lot of existing data?

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