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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 #3711 · 12/25/2024, 10:00 AM

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Edtech Investments Hit 2014 Low 📉 Global investment in Edtech startups plummets to $3 billion this year, the lowest since 2014. Startups are distancing themselves from the Edtech label, impacting investor interest. 🧑‍🦼 'Моторика' acquires 51% of a wheelchair manufacturer, positioning itself in assistive technology ahead of an IPO planned for 2026. 🤖 OpenAI considers creating a humanoid robot, but new AI models remain the priority. ✈️ Lilium, the electric aircraft developer, may be saved by a consortium after announcing closures and layoffs. Read more: Financial Times, Vedomosti, The Information, TechCrunch #Edtech#Investment#Startups#AI#Robot#AssistiveTechnology#Lilium#MOTORIKA#FinancialTimes#Vedomosti#TheInformation#TechCrunch#Singapore#Cryptocurrency#UserExperience#MarketTrends#Technology#Innovation#Business#Funding