About this Webinar:

AI is triggering a fundamental shift in engineering, and Physics AI is leading the charge. From real-time simulation to inference-driven optimization, engineering teams are being redefined by a new generation of AI-native tools.

In this webinar, we speak with Professor Juan Alonso of Stanford University, a leading voice in the application of Physics AI to high-performance engineering. Professor Alonso will share insights into Luminary Cloud’s SHIFT Models, which are enabling physics-accurate predictions in seconds—and opening new possibilities in automotive and aerospace design. We'll explore how this technology enables real-time control, uncertainty quantification, and the creation of responsive digital twins, and what it all means for engineering workflows going forward.

Join us for a deep dive into the future of engineering, where AI doesn’t just assist—it accelerates, explores, and designs.

What You'll Learn:

• What Physics AI is and how it’s transforming product development today
• How SHIFT Models deliver 1-3 second inference speeds with up to 2% accuracy
• The power of domain-specific models versus general-purpose models
• How high-fidelity data fuels better predictions—both scalar and field-level
• Use cases in automotive and aerospace, from interactive design to digital twins

Who Should Watch:

• Engineering leaders seeking faster design exploration and optimization
• ML practitioners building or applying physics-informed models
• Simulation and CFD professionals interested in AI-based surrogate modeling
• Product and R&D executives exploring digital twin strategies
• Anyone looking to understand how Physics AI is changing the nature of engineering design