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TADreamer is presented, a zero-shot framework that grounds video-imagined navigation in measured geometry without task-specific training or fine-tuning, and reduces mean absolute depth error and mean absolute relative depth error compared with NavDreamer.
Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.
D DianShi-RxnDB is presented, a large-scale, fine-grained organic reaction data platform built via a fully automated extraction and normalization pipeline integrating patent text, images, and reaction schemes integrating patent text, images, and reaction schemes.
Prior maps, even when flawed, can significantly boost UAV exploration efficiency, achieving over 34% better performance in complex environments.