这篇文章探讨了在生物医学研究中利用AI 科学家（即具有怀疑性学习和推理能力的系统）的愿景。文章详细介绍了AI 代理如何通过协调大型语言模型（LLMs）、机器学习（ML）工具和实验平台来增强研究，将人类的创造力与 AI 分析大规模数据的能力相结合。作者们提出了一个 AI 代理的自主性级别分类（从 0 级到 3 级），描述了它们在假设生成、实验设计和推理方面的不断进步，并讨论了 AI 代理在遗传学、细胞生物学和化学生物学中的应用。最后，文章也论述了构建这些代理所需的关键模块（感知、交互、内存和推理），以及与可靠性、评估、数据生成、治理和风险相关的重大挑战。References: Gao S, Fang A, Huang Y, et al. Empowering biomedical discovery with AI agents[J]. Cell, 2024, 187(22): 6125-6151.
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