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Abstracts: NeurIPS 2024 with Dylan Foster

Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics. Read the paper

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  Ideas: Community building, machine learning, and the future of AI

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  Ideas: More AI-resilient biosecurity with the Paraphrase Project

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  Coauthor roundtable: Reflecting on healthcare economics, biomedical resear…

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  Reimagining healthcare delivery and public health with AI

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  Navigating medical education in the era of generative AI

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  AI Testing and Evaluation: Reflections

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  AI Testing and Evaluation: Learnings from cybersecurity

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  How AI will accelerate biomedical research and discovery

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  AI Testing and Evaluation: Learnings from pharmaceuticals and medical devi…

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  AI Testing and Evaluation: Learnings from genome editing

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  AI Testing and Evaluation: Learnings from Science and Industry

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  The AI Revolution in Medicine, Revisited: How AI is reshaping the future o…

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  What AI's impact on individuals means for the health workforce and industry

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  Abstracts: Zero-shot models in single-cell biology with Alex Lu

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  Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

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  Collaborators: Healthcare Innovation to Impact