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今天的主题是：Towards an AI co-scientist

Summary

The provided text introduces an AI co-scientist system, a novel computational framework leveraging advanced AI models to assist and collaborate with scientists in accelerating the scientific discovery process. This system employs a multi-agent architecture capable of processing natural language research goals, exploring literature, generating hypotheses, and proposing experimental protocols. Through mechanisms like simulated debates and tournament-style ranking, the AI refines its outputs and incorporates feedback from scientists in a "scientist-in-the-loop" paradigm. The co-scientist's capabilities are validated through end-to-end experiments in biomedicine, including drug repurposing for leukemia, identifying novel targets for liver fibrosis, and explaining antimicrobial resistance mechanisms, demonstrating its potential to augment human scientific ingenuity.

该文本介绍了一种AI共科学家系统，这是一种利用先进AI模型加速科学发现过程的创新计算框架。该系统采用多代理架构，能够处理自然语言形式的研究目标，查阅文献、生成假设，并提出实验方案。通过模拟辩论和锦标赛式排序等机制，AI不断优化其输出，并在“科学家参与环”（scientist-in-the-loop）模式中融合人类反馈。该共科学家系统的能力在生物医学领域通过端到端实验得到了验证，包括用于白血病的药物再定位、发现肝纤维化的新靶点，以及解释抗菌药物耐药机制，展示了其在增强人类科研创造力方面的巨大潜力。

原文链接：https://arxiv.org/abs/2502.18864