Autonomy and AI are no longer confined to labs or simulations. They operate in the real world.
The hard part now isn’t just building systems, but handling the messy reality: scaling, risk, and deciding what “safe enough” actually means. This event brings together engineers working with machine learning, AI, robotics, and safety - as well as recent graduates and curious minds who want to get closer to the messy, unsolved problems that define autonomy today.
Engineers from Einride, AI Sweden, and Zenseact will share insights from real-world projects, where data leaks, edge cases, and system limits aren’t exceptions, but everyday constraints.
What to expect:
Tech talks
Our experienced engineers will share practical lessons from safety-critical, cutting-edge systems and the trade-offs that come with building for the real world.
Networking and Mingling
Connect with like-minded individuals who are passionate about AI and safety, and want to get closer to real problems in autonomy and safety - the kind without a playbook.
You don’t need to be an expert in autonomy or AI. If you’re curious, eager to learn, and want to understand how safety-critical, AI-driven systems are built, you’re very welcome.