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Machine learning reveals how often fish schooling evolved—and repeatedly disappeared
Scientists have used new machine learning techniques to investigate a topic no one has ever found a way to study: the evolution of fish moving together in schools across thousands of species.
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Scientists applied new machine learning methods to examine how fish schooling behavior evolved across thousands of species, publishing their findings on Nov. 6 in the Proceedings of the National Academy of Sciences. The analysis, one of the largest behavioral evolution studies to date, quantified the trait’s appearance and disappearance on a broad evolutionary scale. Results indicate that fish independently acquired the ability to move together as a unit about 60 times, but subsequently lost it roughly 320 times over the past 350 million years.
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