At a lab of the University of Science and Technology of China (USTC), AI and automation have transformed traditional chemistry research from manual trial-and-error to giving instructions on intelligent platforms. In 2021, Professor Jiang Jun's team developed the first-generation robotic chemist "Xiao Lai," enabling 24/7 operation and autonomous experiment design. The second-generation "Xiao Lin" now handles more complex tasks, evolving from a labor substitute to a collaborative research partner. The team's ultimate goal is fully autonomous science, where machines can discover new research directions and assist even non-experts in material creation. (Xinhua)
Traditional chemical research has long relied on continuous trial and error by scientists. With the development of artificial intelligence and robotic automation technologies, it has become possible to design experiments and issue instructions through intelligent platforms, using robots to replace human labor in experiential operations, which enhances experimental efficiency and precision.
The Thematic Session on Digital Earth Supporting Sustainable Development convened during the 2025 World Science and Technology Development Forum (WSTDF) in Beijing on Tuesday, bringing together 70 leading figures and representatives from research institutes and universities of 19 countries and relevant UN agencies and international organizations to tackle the problems along niche opportunities brought by emerging science and technology trends, with consensus on the Digital Earth Initiative for the Sustainable Development Goals.
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