• What are the key architectural considerations when designing AI-driven software for autonomous driving, and how do they scale across different vehicle platforms?
• How can AI enhance real-time decision-making in autonomous systems while ensuring functional safety and regulatory compliance?
• What role does continuous learning and over-the-air updates play in improving the performance and adaptability of autonomous driving software?
• How do AI and sensor fusion work together to create a robust perception stack for L2+ and L3 autonomous systems?
• What are the biggest challenges in validating AI-driven autonomous software, and how can simulation, data augmentation, and real-world testing help mitigate risks?

Presenting the results of our World Cafés: The moderators summarize the key takeaways of their World Café Round Tables on the main stage and share the main findings with all attendees.