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California Institute of Technology
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FQTree slashes hardware costs for boosted decision trees by up to 57% without sacrificing accuracy, revolutionizing their deployment in latency-sensitive applications.
GalSAS-SDR-SIM transforms the landscape of Galileo signal authentication by providing a versatile simulation environment that accelerates receiver development and research.
AI-driven laryngeal cancer screening achieves over 82% accuracy while offering explainable insights for clinicians, transforming diagnostic practices.
Today's LLM agents fall far short of "always-on" personal assistants, failing more than 65% of the time when reasoning over realistic, noisy digital environments spanning months of user activity.
Training agents in MobileGym transfers surprisingly well to real-world mobile devices, retaining over 95% of the simulation-side performance gains.