
NVIDIA unveiled agent skills at CVPR to streamline physical AI workflows for autonomous vehicles, robotics, and vision AI. The skills enable reconstruction of real-world scenes, generation of edge-case scenarios, policy training, behavior evaluation, and rapid iteration. Researchers now have integrated tools to connect these steps in a unified workflow. This advancement reduces fragmentation and accelerates experimentation in physical AI systems.
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Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw
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