Researchers are turning to artificial intelligence to understand why some scientists appear to have a natural gift for laboratory work, a skill often described as having “magic hands,” according to a report from The Star.
The project, covered by The Star on September 7, 2026, involves training an AI system to observe and analyze the subtle techniques that distinguish highly skilled researchers in the lab. By studying these patterns, the scientists behind the work hope to identify what specifically contributes to exceptional manual precision in experimental settings.
The Star’s report indicates that the AI is being used to break down the components of hands-on expertise that have long been considered difficult to teach or codify. In many fields of science, success depends not only on theoretical knowledge but also on the physical execution of procedures—pipetting, handling delicate samples, or calibrating equipment—where small differences in technique can significantly affect outcomes.
According to the article, the goal is to learn from those who excel naturally and potentially translate that knowledge into training methods for others. If the AI can pinpoint the mechanics behind superior lab performance, it may become possible to offer more structured guidance to early-career scientists who struggle with the practical side of research.
The work highlights a growing intersection between machine learning and the empirical traditions of science, where even human dexterity is becoming a subject for computational analysis. The Star notes that some scientists have long been recognized for this ability, but the underlying reasons have remained largely unexplained until now.
What to watch next: whether the AI’s findings can be turned into practical teaching tools that help more researchers develop these skills.
