# Berkeley Lab Cuts Beamline Annotation From a Month to 15 Minutes Using Meta's Open Vision Models

The SYNAPS-I project pairs DINOv3 features with SAM 3 segmentation across 300 A100 graphics processors, while the University of Pittsburgh runs the same models on-device in an assistive wheelchair funded by up to $41.5 million.

- Published: 2026-09-28T06:48:56.769Z
- Canonical: https://polylog.news/ai/2026-09-28/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](https://ai.meta.com/blog/assistive-robotics-university-of-pittsburgh-sam-dino/)

Meta's closed turn on language models has not extended to perception, and two deployments show where the open vision stack is landing. Lawrence Berkeley National Laboratory leads SYNAPS-I, a multi-laboratory project with SLAC under the Depa…

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