AI hype is everywhere, but how do you trust a black box that ignores physical laws and requires costly, data-hungry validation cycles?

With complexity skyrocketing, "wait and see" is not an option. But the answer isn't just "more AI" - you need to invest in the right kind of AI. 

This webinar, hosted by Lawrence Butcher, Editor of Automotive Powertrain Technology International, features Gary Brotman, CEO of Secondmind and Alan Patterson, CEO of BeyondMath. They discuss how physics-informed AI is transforming the automotive landscape.

If you missed the live session, the full webinar is now available for on-demand viewing.

What you'll learn

Identifying the right tool: How to distinguish between the different types of AI to ensure you make the right investments.

AI-human partnership: From "black box" tools that offer binary answers to a partnership model that augments human intuition with data-driven insights.

Trust: Why explainability and uncertainty quantification are essential for regulatory and safety standards.

Tackling complexity: Leveraging physics-informed AI to manage high-dimensional design spaces and reduce lengthy validation cycles.

Future-proofing expertise: Why the engineer remains central to lead the next era of automotive innovation, empowered by AI-driven insights for complex problem-solving.

AI for the physical world

Don't let your engineering process be slowed down by tools that don't understand the constraints you work under. Gain the clarity needed to navigate this new landscape with confidence.