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Accelerating Automotive Innovation With Next-Generation Physics AI Workflows

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The automotive industry is rapidly transforming towards electrification, autonomy, connectivity, and sustainability. New product innovation has to be accelerated while enhancing engineering efficiency on legacy products. For both, the primary challenge remains the cost and speed of engineering decision-making.

Join this session, where we will explore how to access AI model training and deployment across multiple physics in a single platform. Specifically, we will show attendees the rapid and intuitive decision-making workflow including:

• Demonstrating the accessibility and highly scalable nature of cloud-native simulation.
• API-driven geometry optimization study of an industrial electromagnetic design case.
• Ultra-fast training data generation via unlimited parallel simulations in the cloud.
• Introduction to AI model access next to high-fidelity CAE solvers simply via the web browser.

Now available to watch on-demand: Register for this webinar to watch a recording of the presentation and audience Q&A, and download the presentation slides.

Presented by:

  • Nur Öztürk, Product Manager, SimScale

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