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A general Agent OS can boost long-horizon robotic execution and enable continual learning through structured memory management and self-evolution.
Fine-tuning a model on rigorously synthesized tasks can outperform larger models by leveraging high-fidelity data, achieving a new benchmark in terminal agent performance.
Ocean4D achieves unprecedented stability and consistency in underwater 4D reconstruction, overcoming the limitations of traditional methods that fail to account for medium effects.
Existing GUI agents can parrot actions, but AutoGUI-v2 reveals they still lack a deep understanding of GUI functionality and struggle to predict the outcomes of even simple interactions.
You don't need billions of parameters to accurately ground GUI elements: GoClick, a 230M parameter model, matches the performance of much larger models, opening the door for on-device GUI agents.
