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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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Venture Village Wall 🦄

@venturevillagewall · Post #3874 · 01/14/2025, 01:00 PM

Funding Rounds Update: January 2025 In January 2025, notable funding rounds included: - Beams secured $9M for a renovation platform enhancing home planning, design, and building. Learn more - KamiwazaAI raised $8.5M, aiming to revolutionize enterprise AI with 1 trillion daily inferences. Learn more - CyGO Entrepreneurs garnered $5.16M for their business initiatives. Learn more - Oh obtained $4.5M for digital twin interactions. Learn more - Varadise received $3M for AI-driven construction solutions. Learn more - Jinli Intelligence brought in $2.73M for intelligent technology solutions. Learn more - Origami Agents raised $2M for their internet research tracking services. Learn more - Novastro secured $1.2M for their L2 chain applications. Learn more - RePut.ai raised $1M for AI tools. Learn more - Quash garnered $635K to automate bug reporting for developers. Learn more #Funding#Startup#AI#Construction#Tech#DigitalTwin#Automation#Enterprise#Research#Platform#Solutions#VC#Innovations#Web#Data#Efficiency#BugReporting#DigitalTransformation#Kamiwaza#Beams