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Achieving state-of-the-art performance in computational lithography, LithoDreamer redefines how we model and optimize complex physical processes.
Asynchronous tracking for humanoid robots can significantly enhance performance and safety in dynamic environments, outperforming traditional methods even at low update rates.
Current multimodal browsing agents are surprisingly bad at using visual information on webpages, with even top models scoring below 50% accuracy on a new visual-native search benchmark.
Diffusion models can now generate more realistic and semantically appropriate hand grasps by explicitly modeling affordances and interaction semantics, outperforming prior methods on grasp quality, semantic accuracy, and diversity.
