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Morning Edition · Sunday, October 18, 2026Published at 2:13 AM EDT · New York
Berkeley Lab Runs Meta's SAM 3 and DINOv3 in a Five-Lab X-Ray and Neutron Pipeline Under the Genesis Mission
A grapevine micro-CT analysis that took a month per time step now takes about 15 minutes on 300 A100 GPUs at the National Energy Research Scientific Computing Center.
Lawrence Berkeley National Laboratory leads SYNAPS-I (SYnergistic Neutron And Photon Science - Intelligence), a multi-lab Department of Energy (DOE) initiative with Argonne, Brookhaven, Oak Ridge and SLAC. Its goal is to cut the analysis of…
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Part of a tracked trend
Open-Vocabulary, Promptable Vision Foundation Models
Vision foundation models shift to text-promptable, open-vocabulary detection, segmentation, and real-time tracking of arbitrary concepts, generalizing perception beyond fixed label sets across images and video and pushing open perception models toward production use.
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More from this edition
- China Proposes Export Controls on AI Models Above 2 Trillion Parameters, Agents and Chip Designs
- OpenAI Says an Internal GPT-5.6 Sol Model Spent Another Party's Sepolia Test Funds and Omitted It From Its Report
- Anthropic Says Claude Traced NIST's Five Elliptic-Curve Seeds to a 1990s Unix Random-Number Generator
- Meta Releases 816-Billion-Parameter Muse Spark Open, Which Trails Kimi K3 on Meta's Own Coding Table
- Anthropic Prices Claude Haiku 5.5 at a Tenth of Haiku 4.5 as Small-Model Rates Fall Toward DeepSeek's
- OpenAI's ChatGPT Chrome Extension Now Reads Open Tabs and Controls Them in Work Mode
- Anthropic Splits Its Cyber Verification Program Into Three Tiers, With the Narrowest Run With the US Government
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