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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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UXLINK

@uxlink_community · Post #371 · 03/28/2025, 03:19 AM

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🚀 Exciting updates: UXLINK One account growth has exploded from 160K to 500,000+ in under 10 days! 💥 💰 Over 6,000,000 $UXLINK deposited as OAOG protocol’s universal gas 📈 Daily transactions: 10,000+ | Total transactions: ~1,000,000 This is what global community power looks like! 🌍✨ Thank you for trusting us to redefine #Web3. Chain & account abstraction are revolutionizing user experiences—smoother, safer, and simpler for everyone. As the world’s largest #Web3 social platform & infrastructure, we’re building the SOCIAL FOUNDATION for mass adoption. 💪The future is here—let’s shape it together! 🎉#UXLINK#MassAdoption#Web3Infrastructure#AccountAbstraction

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EdgeMarket.AI 📣

@edgemarketai · Post #8002 · 02/23/2026, 02:09 PM

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By February 23, the story will already be written. EdgeMarket explores how decentralised oracles, collective intelligence, and AI signals converge to forecast global outcomes — transparently, without manipulation. Prediction is infrastructure. Truth is a system. #EdgeMarket#DecentralisedOracles#CollectiveIntelligence#AIInference#OlympicData#FutureOfPrediction#Web3Infrastructure

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