The official ambient-AI summary of the meeting — talk summaries, slides and key topics captured live in the room and written up automatically. For the full programme, schedule and details, head to the main conference website.
SBI4GALEV brought together astronomers, cosmologists and machine-learning researchers working on simulation-based inference — using forward models of the Universe to constrain how galaxies form and evolve. This public archive collects AI-written summaries of the talks given at the meeting.
This archive was produced by an on-device ambient-AI assistant that listened to each talk and captured its slides in the room. Running entirely on local hardware — on-device speech recognition and a self-hosted multimodal language model, with no audio or transcript leaving the venue — it wrote the per-talk summaries, day overviews and cross-talk topic map collected here.
The toolkit is open source: github.com/sbi-galev/ambient-ai