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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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@JenniferMac · Post #240 · 01/26/2023, 02:17 AM
BREAKING: Pfizer Exploring "Mutating" COVID-19 Virus For New Vaccines "Don't tell anyone this...There is a risk...have to be very controlled to make sure this virus you mutate doesn't create something...the way that the virus started in Wuhan, to be honest." #DirectedEvolution CLICK HERE TO TWEET #DirectedEvolution NOW: https://ctt.ec/d3Lc2
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@CryptoM · Post #64849 · 04/10/2026, 04:15 AM
🚀Pony.ai Unveils Advanced AI Model for Autonomous Driving Pony.ai has announced the release of its latest technological advancement in the field of physical AI, the PonyWorld Model 2.0, on April 10. According to BlockBeats, this new version introduces self-diagnostic and directed evolution capabilities, signifying a new phase in the research and development of autonomous driving technology. The enhancements in PonyWorld Model 2.0 mark a significant shift from its predecessor, Model 1.0, showcasing Pony.ai's commitment to advancing its autonomous driving systems. #Ponyai#AI#AutonomousDriving#Technology#Innovation#PonyWorldModel2#SelfDiagnostic#DirectedEvolution#R&D