State-of-the-art Artificial Intelligence Sheds New Light On The Mysterious First Stars

This article discusses the use of machine learning to study the formation of the first stars in the universe. A team of researchers developed an algorithm to distinguish between stars formed from single or multiple supernovae based on their measured elemental abundances. The algorithm was used to analyze the spectra of extremely metal-poor stars, which are believed to be the descendants of the first stars. The results of the study suggest that the first stars may have been born as multiple stellar systems rather than as isolated single stars.