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, have published a paper in Chemical Society Reviews that examines 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.
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