From PyTorch to Production: Closing the Evidence Gap for ISO/PAS 8800

ICEUR26 From PyTorch to Production Closing the Evidence Gap for ISO PAS 8800 Peter Kristiansen Embedl Interview

As automotive AI moves from research environments into safety-critical production systems, ISO/PAS 8800 is bringing greater focus to traceability, reproducibility and evidence across the full development lifecycle.

In this interview, Peter Kristiansen, Business Dev Exec – Automotive & Defence at Embedl discusses the practical gap between validating an AI model in PyTorch and proving the performance of the compiled, quantised binary running on vehicle hardware. He explains why compliance cannot be treated as an audit-stage task, and how automated evidence capture can help engineering teams continue innovating while building a stronger safety case for embedded AI deployment.

Building the Unified AI Stack for Software-Defined Vehicles

ICUEUR26 Building the Unified AI Stack for Software-Defined Vehicles Natalie Stormanns

As vehicles become increasingly software-defined, the challenge is no longer adding more AI features- it’s creating an architecture that allows them to work together.

In this interview, Natalie Stormanns, Head of Infotainment and Digital Experience at MHP – A Porsche Company, explores why unified AI stacks, centralized compute, and integrated vehicle and cabin data are becoming essential to delivering safer, more intelligent, and more personalised driving experiences.

Sara’s Top Takeaways: What We Learned at InCabin USA 2026

Sara's Top Takeaways What We Learned at InCabin USA 2026

InCabin USA 2026 was so much fun, but of course we had to be productive too. Here’s what “productive” looked like for the attendees, exhibitors, sponsors, and partners who joined us in Detroit.

A special thank you to Tobii, our Founding Partner, for helping us build an event that prioritises a happy, engaged, and collaborative InCabin community. The industry showed up ready to share, challenge, learn, and connect – and the result was three fantastic days of discussion and discovery.

Safety, Ethics & AI: Pavan Vemuri on the Future of Intelligent Vehicles

Safety, Ethics & AI" Pavan Vemuri on the Future of Intelligent Vehicles

As the intelligent cabin evolves from a passive environment into an AI-driven, emotionally aware space, automakers face growing challenges around safety, privacy, transparency, and driver trust. In this article, we speak with Pavan Vemuri of SDVerse about the governance frameworks, ethical considerations, and safety standards needed to ensure next-generation in-cabin AI enhances the user experience without compromising autonomy or security.

The Cognitive Gap in Driver Monitoring – Why “Eyes on Road” Isn’t Enough

ICUSA26 The Cognitive Gap in Driver Monitoring- Why “Eyes on Road” Isn’t Enough Vered Levy-Ron CorrActions

As camera-based DMS reaches maturity, attention is shifting to what it still can’t see. In this interview, we explore with Vered Levy-Ron, CEO of CorrActions, the limitations of gaze-based systems, the challenge of validating cognitive-state detection, and why integrating driver readiness into L2+ and L3 systems requires a fundamental rethink of how engineers define safety.

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