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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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Crypto M - Crypto News

@CryptoM · Post #65081 · 04/10/2026, 08:37 PM

🚀 AI TRENDS | Wall Street Banks Test Anthropic's Mythos Model for Vulnerability Detection Wall Street banks have begun internal testing of Anthropic's Mythos model, as reported by Bloomberg on X. The initiative comes amid encouragement from U.S. President Donald Trump's administration officials, who are advocating for its use in identifying potential vulnerabilities. The Mythos model, developed by Anthropic, is designed to enhance security measures within financial institutions by leveraging advanced AI capabilities. This move reflects a growing trend among major banks to integrate cutting-edge technology to bolster their defenses against emerging threats. #AI#trends#WallStreet#banks#Anthropic#Mythos#model#vulnerability#detection#security#financialinstitutions#AItechnology#emergingthreats