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Praxist achieves 60 medals on the MLE-bench with an order of magnitude less spending, revolutionizing how autonomous R&D agents can learn from past experiments.
Establishing a 3D anatomical layout from X-rays dramatically enhances CT reconstruction accuracy, outperforming existing methods and improving downstream segmentation.
General agents can be certified for reliable long-horizon planning by localizing transitions, revealing a new pathway to effective deployment in complex environments.
