AI ON RAILS: BUILDING A SELF-SUPERVISED FOUNDATION MODEL FOR SWEDEN’S RAILWAYS

Physical AI on rails! 🚂

Trafikverket captures hundreds of terabytes of high-resolution imagery every year to monitor Sweden’s railway network. But there’s a problem: at that scale, manually labeling the data simply isn’t feasible.In this talk, we’ll share how we’re turning this vast archive of unlabeled imagery into a useful AI resource using self-supervised learning. We’ll explore how a foundation model can learn meaningful visual representations directly from railway data, and how those representations can then be adapted to real-world tasks with only a small amount of labeled data.Using examples such as detecting rail defects and identifying infrastructure assets, we’ll show what it takes to move self-supervised learning from research into a large-scale industrial setting—and what we’ve learned along the way.

Agenda:

14:00 Doors open, coffee and registration

14:15 - 14:45 Presentation

14:45 - 15:15 Questions and networking

Presentation by eghed - experts in Data Science and AI

www.eghed.se

This event is part of Nordic Tech Week. The event is independently organised by the host. If you have any questions about Nordic Tech Week, please contact events@nordictechweek.org. Questions about this event should be directed to the event host.