The AI-driven mobile robots developed by the University of Liverpool can perform exploratory chemistry tasks at the same level as humans but much faster.
Professor Andrew Cooper notes that using intelligent robots in chemical synthesis research can significantly accelerate the time-consuming and expensive processes of decision making.
Decision-making in exploratory chemistry involves nuanced evaluations of multiple datasets, making it a challenging task for AI to replicate human intuition.
The robots tackled complex chemical synthesis areas like structural diversification and photochemical synthesis, demonstrating their efficiency and adaptability in a research setting.
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