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Balancing AI and human insights in scientific discovery:Challenges and guidelines
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作者 Ricardo Vinuesa Pilar Manchón +1 位作者 Sergio Hoyas Javier García-Martínez 《The Innovation》 2026年第2期18-19,共2页
Recent advances in large language models(LLMs)have enabled machines to integrate web search,code execution,data analysis,decision-making,and even laboratory experimentation,as done in chemical discovery using the“co-... Recent advances in large language models(LLMs)have enabled machines to integrate web search,code execution,data analysis,decision-making,and even laboratory experimentation,as done in chemical discovery using the“co-scien-tist.”^(1)This artificial-intelligence(AI)-driven platform represents a pivotal moment in the evolution of systems.By using LLMs such as GPT-4 and Claude,co-scientists can autonomously design,plan,and execute complex chemical experiments based on simple natural-language prompts.Their capability lies in the ability to interpret plain-language requests. 展开更多
关键词 scientific discovery AI laboratory experimentationas chemical discovery large language models llms chemical experiments evolution systemsby web searchcode
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