Researchers from a German research center and a Scottish university have created an artificial‑intelligence system that can analyze dinosaur footprints and suggest the most likely trackmaker. Trained on thousands of real fossils and millions of simulated tracks, the algorithm focuses on eight key foot characteristics and operates without human‑assigned labels. In tests the AI agreed with expert classifications about ninety percent of the time, offering a neutral, mathematical aid for paleontologists. The open‑source tool is available on GitHub and could expand as more scientists contribute data, potentially shedding new light on dinosaur‑bird evolution.
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