Deeper learning

Episode 6: Reimagining engineering

What is generative physics, and how can it impact engineering and vehicle design? Tune in to hear Veronika Nihlén [https://www.linkedin.com/in/veronika-nihl%C3%A9n/] talk with Wasil Rezk [https://www.linkedin.com/in/wasil-rezk-831732129/] from BeyondMath [https://beyondmath.com/] about a new frontier in AI. They explore how BeyondMath’s physics foundation model lets engineers simulate aerodynamics and thermodynamics in under a minute, and what that means for F1, automotive, and aerospace design. Wasil explains how this radically speeds up experimentation, reshapes engineering workflows, and even challenges how organizations structure their development processes. The conversation also looks ahead to a future in which multi‑physics and agentic AI could help create entirely new kinds of vehicles, potentially even personalized for each driver. Follow Zenseact on: * LinkedIn [https://www.linkedin.com/company/zenseact/] * Instagram [https://instagram.com/zenseact?igshid=OGQ5ZDc2ODk2ZA==]

Episode 5: Punching above its weight

In this episode, Veronika Nihlén [https://www.linkedin.com/in/veronika-nihl%C3%A9n/] sits down with Professor Amy Loutfi [https://www.linkedin.com/in/amy-loutfi-55727561/], Program Director of WASP [https://wasp-sweden.org/] – 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. Follow Zenseact on: * LinkedIn [https://www.linkedin.com/company/zenseact/] * Instagram [https://instagram.com/zenseact?igshid=OGQ5ZDc2ODk2ZA==]

Episode 4: Looking without seeing

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 [https://www.linkedin.com/in/mbatuhanoezcan/] from Syntonym [https://www.linkedin.com/company/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. Follow Zenseact on: * LinkedIn [https://www.linkedin.com/company/zenseact/] * Instagram [https://instagram.com/zenseact?igshid=OGQ5ZDc2ODk2ZA==]

Episode 3: Twins, software, and the new way to build cars

Host Veronika Nihlén [https://www.linkedin.com/in/veronika-nihl%C3%A9n/] talks with RemotiveLabs [https://www.linkedin.com/company/remotivelabs/] CEO Per Sigurdson [https://www.linkedin.com/in/per-sigurdson/] and technical manager Aleksandar Filipov [https://www.linkedin.com/in/aleksandar-filipov-a806303/] 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. Follow Zenseact on: * LinkedIn [https://www.linkedin.com/company/zenseact/] * Instagram [https://instagram.com/zenseact?igshid=OGQ5ZDc2ODk2ZA==]

Episode 2: From roads to replicas

On this episode of Deeper learning: simulation steps out of the lab and into day-to-day development. Kevin McNamara [https://www.linkedin.com/in/kgmcnamara/] (CEO of Parallel Domain [https://paralleldomain.com]), Erik Rosén [https://www.linkedin.com/in/erik-rosén-b08538107/], and Veronika Nihlén [https://www.linkedin.com/in/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! Follow Zenseact on: * LinkedIn [https://www.linkedin.com/company/zenseact/] * Instagram [https://instagram.com/zenseact?igshid=OGQ5ZDc2ODk2ZA==]