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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 #65079 · 04/10/2026, 08:28 PM

🚀 Stablecoin Reward Negotiations Intensify Ahead of Senate Vote Negotiations over stablecoin rewards are gaining momentum as lawmakers prepare to reconvene next week. According to NS3.AI, the Senate Banking Committee is set to vote on a comprehensive crypto market structure bill by the end of the month. A recent report from White House economists suggests that stablecoin rewards are unlikely to significantly impact bank lending or broader credit conditions. However, banking advocates are pushing for stricter language on yield prohibitions, while crypto firms argue that such limits could stifle innovation. #Stablecoin#Crypto#SenateVote#Banking#CryptoRegulation#FinancialInnovation#YieldLimits#CreditConditions