An internal AI journal club, is it possible?

A while back, Marco Todescato and I got tired of that nagging feeling that we were falling behind on AI research. There's just too much coming out, too fast, and doom-scrolling papers on the train wasn't cutting it. So we started an internal AI journal club at Fraunhofer Italia - IEC, and unlike most good intentions, this one actually stuck.

Here's the format that ended up working: one meeting a month, no more. One person presents, everyone else just listens and jumps in with questions, no slide-heavy lecture, no pressure to prepare something polished. Keeping it monthly and low-key is exactly why people keep showing up instead of quietly dropping off after the second session.

Our group spans computer vision, robotics, and human-centered tech, so the topics wander depending on who's presenting. I opened things up with diffusion models for defect segmentation, and at our last session Tommaso Tubaldo walked us through Vision-Language Models in robotics, from transformer basics to using neuro-symbolic supervision for robot policies.

The best part is the discussion afterward: someone always spots a connection to their own project, or gets saved from repeating a mistake a colleague already made. And yes, there's pizza at the end, which might be doing more for attendance than I'd like to admit.

Turns out an internal journal club is possible. You just have to keep it small and low-effort enough that nobody dreads it.