Published in Proceedings of the National Academy of Sciences · View the paper (DOI)
Researchers developed a new method to identify fossil pollen using super-resolution microscopy and machine learning, allowing for the classification of previously unknown legume groups. The trained models achieved 90.3% accuracy in identifying samples from ancient Africa and South America.
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