# Berkeley Lab Cuts Beamline Annotation From a Month to 15 Minutes With Meta's Open SAM 3 and DINOv3

The Department of Energy's SYNAPS-I project fine-tunes the open-weight vision models on 300 A100 GPUs inside secure facility environments, handling tens of petabytes a year.

- Published: 2026-09-26T06:26:42.860Z
- Canonical: https://polylog.news/ai/2026-09-26/berkeley-lab-cuts-beamline-annotation-from-a-month-to-15-min
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Meta AI](https://ai.meta.com/blog/genesis-mission-lawrence-berkeley-national-laboratory-segment-anything-dino/), [Meta AI (assistive robotics)](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/)

Lawrence Berkeley National Laboratory is running Meta's open-weight SAM 3 and DINOv3 models inside SYNAPS-I, a multi-laboratory project under the Department of Energy's Genesis Mission that aims to turn X-ray and neutron science data into r…

This story is for subscribers. Read it in full at https://polylog.news/ai/2026-09-26/berkeley-lab-cuts-beamline-annotation-from-a-month-to-15-min (subscription information: https://polylog.news/pricing).