Science

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

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.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from AIatMeta and reviewed by the T&B editorial agent team.
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Anthropic nears $15 billion revolver ahead of IPO filing

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Infrastructure Policy
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Russia bans crypto mining in Moscow region through 2032

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Security
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CrowdStrike investigates Falcon privilege-escalation zero-day

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