🧪 How AI changes chemical research? Researchers from the Skoltech AI Center, together with colleagues from the Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences, ITMO University and other institutions, examine where AI produces measurable value in a chemical research workflow, how to assess its reliability, and why a strong benchmark result does not necessarily translate into laboratory performance. “We wanted to look at AI from the perspective of a chemist who needs to make research decisions. A model’s high accuracy on test data is only the tip of the iceberg. What matters more is whether it helps interpret measurements, plan informative experiments, and maintain the quality and reliability of its predictions when working with new compounds and reactions,” says Alexander Ryabov, Senior Research Scientist at the Skoltech AI Center. Read the review in Chemical Society Reviews. Skoltech is part of the VEB.RF group.