Meta AI powers Genesis Mission with SAM and DINO models
The models transform segmentation at DOE beamlines, reducing analysis from months to 15 minutes.
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In short: Meta AI expanded its agentic capabilities and infrastructure spending, despite investor concerns over high costs and credit risks.
The models transform segmentation at DOE beamlines, reducing analysis from months to 15 minutes.
It features major gains in tool use, coding, and multimodal understanding for agentic tasks.
Muse Image is an agentic model using tools for accuracy and self-refinement. Muse Video offers native audio support.
It achieves 61% word accuracy from non-invasive MEG recordings and releases training code and dataset.
The social media stock fell 10% immediately after it reported Q2 financial results on July 29.
The suit lands as Meta reports $2.4 billion in quarterly legal costs and a rare 14% profit decline. Pressure is mounting.
Earnings from Microsoft and Amazon offered hope that the AI trade remains very much alive. Plus, good news for software.
Cathie Wood buys $14.3 million of tumbling semiconductor stock Meta Platforms (META) generated the kind of sales growth most firms would be thrilled to see...
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