Scientists use machine learning to trace fish schooling's evolution
Scientists applied machine learning methods to examine how schooling evolved across thousands of fish species.
By Standard Topic. AI-generated from the reporting listed under Coverage. Published . Updated .
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What happened
Scientists applied machine learning methods to examine how schooling evolved across thousands of fish species. The study found that schooling emerged repeatedly and also disappeared repeatedly over time. The paper was published Nov. 6 in the Proceedings of the National Academy of Sciences.
Why it matters
The reports describe it as one of the largest efforts yet to trace how a behavior evolved across an entire group of species.
Coverage
- Machine learning reveals how often fish schooling evolved—and repeatedly disappeared (phys.org)
- Machine learning helps explain evolution of fish schools (news.cornell.edu)
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