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PiL-World slashes the gap between simulated and real-world VLA success rates by over 50%, revolutionizing how we evaluate robotic policies.
Radiologists and AI can mutually reinforce each other's diagnostic accuracy by integrating visual cognition traces into a collaborative network for chest X-ray diagnosis.
