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Visual prompt engineering can boost video model reasoning performance beyond traditional text-based methods, revealing a new frontier in model optimization.
Coding agents can now autonomously refine robotic manipulation policies to achieve a staggering 99% success rate on complex tasks, revolutionizing real-world robotics.
Asynchronous event cameras can achieve superior motion estimation accuracy, outperforming traditional methods by leveraging a novel minimal solver for full DoF egomotion.
GRAIL achieves an impressive 84% success rate in real-world object pick-up tasks using only synthetic data, revolutionizing humanoid robot training.
Generative AI evaluation can be sped up by 8-65x without sacrificing accuracy by proactively focusing on the most informative test cases using a pre-trained Gaussian Process surrogate model.
