Day: November 16, 2020
Researchers apply machine learning to study fossil pollen
Dr. Francisca Oboh-Ikuenobe, professor of geology and geophysics at Missouri S&T, has joined colleagues from other universities to develop a new, more efficient method of identifying fossilized pollen that combines high-resolution imaging techniques with a form of artificial intelligence known as machine learning. They aim to improve the accuracy of fossil pollen identification and discover links to modern plants.
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