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Machine learning used to classify fossils of extinct pollen

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In the quest to decipher the evolutionary relationships of extinct organisms from fossils, researchers often face challenges in discerning key features from weathered fossils, or with prioritizing characteristics of organisms for the most accurate placement within a phylogenetic tree. Enter neural networks, sophisticated algorithms that underlie today’s image recognition technology.

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Evaluation of Microscopy Techniques May Help Scientists to Better Understand Ancient Plants

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