自动汇总
素数(序理论)
计算机科学
编码(集合论)
数据科学
人工智能
认知科学
智能代理
工程伦理学
管理科学
作者
Jacob Kim,Anhui Huang,John S. Tsang
出处
期刊:Science immunology
[American Association for the Advancement of Science]
日期:2025-12-05
卷期号:10 (114): eaea8735-eaea8735
被引量:1
标识
DOI:10.1126/sciimmunol.aea8735
摘要
Large language model (LLM)–based artificial intelligence (AI) agents are powerful tools that can help researchers automate complex tasks such as literature review, data mining, computational code generation, and summarization of existing knowledge, but they can still fall short in developing original biological hypotheses and insights (see related Research Article by Rodriguez-Coffinet et al. in this issue). Emerging advances in multiagent systems and human-agent collaborative frameworks offer promising steps forward.
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