Between hype, hope and humility
AI offers huge promise, but real value comes from practical infrastructure, smart trade-offs, self-reliance, and knowing how to turn ambition into useful results.
Welcome to our knowledge platform, where we cover the promises, challenges, and prerequisites of developing automation, safety, AI, and software-defined vehicles.
26 results

AI offers huge promise, but real value comes from practical infrastructure, smart trade-offs, self-reliance, and knowing how to turn ambition into useful results.

Why today’s AI still falls short of human learning: Willem Verbeke on mental simulation, prior knowledge, and why autonomous systems remain stuck in the past.

Mohammad is focused on one goal: creating software that can handle the full range of real-world traffic – safely, smoothly, and reliably.

Make mistakes digitally, not physically! Kevin McNamara, Erik Rosén, and Veronika Nihlén explore how simulation drives safer, faster development, testing corner cases virtually, from open-loop to end-to-end driving.

AWS leader Karen Langona joins Veronika Nihlén to discuss how cloud powers autonomous driving – covering AI/ML, scalable storage, edge, security, data strategy, and innovation culture.

Jonas Ekmark shares his journey from pioneering stability control to shaping autonomous tech-driven by one mission: a safer, lossless road traffic system.

Sharing data is the path to a collision-free society. Join Mina and Veronika on Deeper learning to discuss technology’s growing need for data.

What does it take to develop self-driving car technology besides funding, technology, and talent? According to Jonas Ekmark, knowing a little about collisions doesn’t hurt.

Following the release of the Zenseact Open Dataset, Zenseact researchers are elevating the dataset by adding radar data.

Our software has been released and is now out there saving lives. It’s a real milestone, so Veronika asked Erik to come and discuss it.
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