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Source channel @githubtrending · Post #15062 · Aug 15

#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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Crypto M - Crypto News

@CryptoM · Post #65390 · 04/13/2026, 04:28 AM

🚀 Iranian Lawmaker Deletes Post on U.S. Demands in Nuclear Talks Saeed Mahmoud Nabavian, an Iranian lawmaker engaged in discussions between the U.S. and Iran, recently shared and subsequently removed a social media post detailing three demands from the United States. According to NS3.AI, the deleted message outlined the U.S. requests for joint sharing of benefits from the Strait of Hormuz, the removal of all uranium enriched to 60% from Iran, and a 20-year prohibition on uranium enrichment. The post's removal has sparked speculation about the ongoing negotiations and the potential implications for regional stability. #Iran#US#NuclearTalks#StraitOfHormuz#UraniumEnrichment#MiddleEast#Diplomacy#InternationalRelations#RegionalStability