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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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Dr Sherri Tenpenny

@SherriTenpenny · Post #23951 · 01/14/2026, 05:08 AM

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In the past, #Rennet was historically extracted from the fourth stomach of young calves; however, there are now different techniques of production by genetically modified organisms (recombinant chymosin) and the use of other enzymes that have a proteolytic profile with good activity at pH and temperature for cheese making. DYK - Over 90% of the cheese made in the US is made by using a GMO rennet created by Pfizer. https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/rennet Sources of non GMO cheese:🧀👇 https://www.saputocheeseusa.com/en/ingredients/our-products/organic-nongmo-cheese #cheese#GMOs#Chymosin#organiccheese#NONGMOcheese#PfizerCheese#PfizerPoison 🔹👉🏻@SherriTenpenny

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