In this episode, Veronika Nihlén sits down with Professor Amy Loutfi, Program Director of WASP – Sweden’s largest research program in AI, autonomous systems, and software. They talk about how Sweden is punching above its weight in AI, the role of regulation and data in innovation, and how closer collaboration between academia and industry is reshaping research. Amy also shares insights from her work in embodied and physical AI, including how robots learn through play, how large language models can help other AI systems learn, and why AI for scientific discovery could transform how we tackle humanity’s toughest problems. Tune in for a generous conversation around robotics labs, synthetic data, cultural views on AI, and what the future might hold for intelligent machines and human intelligence.

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How do you combine synthetic data with ”real” visual data in a way that maintains data quality, privacy, and security? In this episode of Deeper learning, our guest, Batu Özcan from Syntonym, shares insights on the importance of clear, effective laws and explains why government action is crucial to protecting citizens. Join Veronika and Batu as they discuss lossless anonymization for machine vision.

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Host Veronika Nihlén talks with RemotiveLabs CEO Per Sigurdson and technical manager Aleksandar Filipov about how virtualization is reshaping automotive software. They break down the differences between physical and digital twins and show how tighter links between hardware and software help teams move faster. The conversation digs into aging systems, developer-focused tools, and the shifts OEMs need to support software-driven vehicles. Tune in for a look at some of the technical and organizational changes shaping the next generation of cars.

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On this episode of Deeper learning: simulation steps out of the lab and into day-to-day development. Kevin McNamara (CEO of Parallel Domain), Erik Rosén, and Veronika Nihlén (Zenseact) discuss how sensor-level, data-driven replicas let teams test corner cases safely and move faster – from closed vs open loop to end-to-end driving. The aim: make that bad mile happen on a computer, not on the road. Tune in!

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AWS Technology and Business leader Karen Langona joins Veronika Nihlén to explore how cloud services fuel autonomous driving. They cover scalable storage, AI/ML tools, edge computing, and security – plus why data strategy and an innovation-driven culture matter for companies building ADAS and self-driving technology.

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As vehicles become increasingly software-defined, the complexity of development grows. This, in turn, necessitates a collaborative community and a culture in which developers can thrive. But how do you balance effectiveness with efficiency, and what’s the best way to gauge developers' feelings and thoughts about their jobs? Tune in to the conversation between Veronika and systems and feature engineer David Friberg as they explore the evolving dynamics of software development and the importance of cross-team communication.

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Sharing data is the fast track to a society of zero collisions: it benefits everyone in the autonomous driving community by promoting research, innovations, and solutions to improve road safety. It also enhances collaborations and partnerships, making it easier to work together. Tune in to Deeper learning to hear Mina and Veronika discuss technology’s growing need for data, Zenseact Open Dataset – and the strategic advantages of sharing it with the world.

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Veronika does a great job at asking questions. Now, it’s time for her to answer a few herself. With an impressive background as a brand and communications manager at big industrial companies with well-known brands, Veronika decided to try her luck at Zenseact. Tune in to Deeper learning to hear why and to follow her reflections about what it’s like to build a tech brand virtually from scratch – in an industry in constant flux.

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