GPT-3 for Chemical Research

Dr Kevin Jablonka, Junior Research Group Leader at the Institute of Organic Chem
Dr Kevin Jablonka, Junior Research Group Leader at the Institute of Organic Chemistry and Macromolecular Chemistry Image: Jens Meyer (University of Jena)
Dr Kevin Jablonka, Junior Research Group Leader at the Institute of Organic Chemistry and Macromolecular Chemistry Image: Jens Meyer (University of Jena) - GPT-3, the language model behind the well-known AI system ChatGPT, can also be utilised in chemistry to solve various scientific tasks. This was demonstrated by a team of researchers at the École Polytechnique Fédérale de Lausanne (EPFL), Friedrich Schiller University Jena, and the Helmholtz Institute for Polymers in Energy Applications (HIPOLE) Jena. As reported in the journal "Nature Machine Intelligence", they circumvented the issue that chemistry often lacks the large datasets required for training an AI. Curated Questions and Answers Instead of Large Datasets. "One of the various examples we used are so-called photosensitive switches," illustrates Kevin Jablonka, lead author of the study. "These are molecules that change their structure when exposed to light of a certain wavelength. This type of molecule also exists in the human body: In our retinal cells is the molecule rhodopsin, which reacts to light and thus ultimately acts as a chemical switch converting optical signals into nerve impulses," he adds.
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