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Personalized AI agents can achieve up to 20.9% better task success by learning from user feedback in real-time, reshaping the landscape of human-AI collaboration.
Surgical affordance maps can now be predicted with unprecedented accuracy, paving the way for true robotic autonomy in complex surgical environments.
PACE-Bench predicts agentic performance with remarkable accuracy while slashing evaluation costs to a fraction of traditional methods.