# Meta AI: SAM 3 and DINOv3 cut DOE Genesis Mission 3D volume labeling from ~1 month to ~15 minutes

_Published Tuesday, July 21, 2026 at 6:20 PM EDT · Science · Latest · Tier 2 — Notable_

Meta AI announced that SAM 3 and DINOv3 are being used by the Berkeley Lab-led SYNAPS-I project to automate image segmentation for the Energy Department's Genesis Mission. The post said that by pairing DINOv3's global semantic context and fine-grained spatial localization with SAM 3's pixel-level boundary extraction, researchers are able to compress 3D volume labeling from a month of manual effort to about 15 minutes. The post included a link to learn more about their work.

## Sources

- [AIatMeta](https://x.com/AIatMeta/status/2079614176725442912)

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Canonical: https://techandbusiness.org/newswire/esEJHlpcSZG_cNIBkqtrDP
Published: 2026-07-21T22:20:55.925Z
Story chronology: 2026-07-21T12:00:00.000Z
Retrieved: 2026-10-20T10:33:42.285Z
Publisher: Tech & Business (techandbusiness.org)