摘要
Abstract
Intelligent laboratories,integrating artificial intelligence,big data,and laboratory automation,enable closed-loop automation across key stages of scientific research,including hypothesis generation,experimental pathway optimization,and data collection and analysis.These systems have become an emerging research frontier in materials science,chemistry,and biology.In the United States,multiple federal science and technology agencies are advancing initiatives on AI-driven scientific models and intelligent laboratory development,while organizations such as OpenAI and Google have introduced collaborative scientist platforms.As a core enabler of the data-driven"fourth paradigm"of scientific discovery,intelligent laboratories are evolving toward general-purpose robotic scientists,high-throughput self-driving research facilities,and distributed cloud-based laboratories.关键词
智能实验室/人工智能/自主实验/科学发现/实验室自动化Key words
intelligent laboratory/artificial intelligence/self-driving experimentation/scientific discovery/laboratory automation
