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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. NTU Professor Cao Ziang's Team: Solving the Difficulty of 3D Annotation Costs with Just One Image | CVPR 2026

    Researchers from Nanyang Technological University (NTU) have developed PhysX-Anything, a system capable of generating physically simulated 3D assets from a single image. This advancement moves beyond merely creating visually realistic 3D models to producing assets with accurate structural components, joint relationships, material properties, and functional behaviors. The system aims to significantly reduce the cost and effort associated with creating 3D assets for robotics training, AR/VR applications, and industrial simulations by automating the inference of physical attributes from a single input image. AI

    NTU Professor Cao Ziang's Team: Solving the Difficulty of 3D Annotation Costs with Just One Image | CVPR 2026

    IMPACT Automates the creation of physically accurate 3D assets, significantly lowering barriers for robotics, AR/VR, and simulation development.