AI Method Helps Identify Which Dinosaurs Made Fossil Footprints
Scientists have developed a new artificial intelligence method that helps determine which dinosaurs made specific fossilized footprints, addressing a long-standing challenge in paleontology. Footprints are among the most common dinosaur fossils, yet matching them to the correct species has often relied on subjective interpretation. The new approach uses AI to analyze eight measurable traits in each footprint, offering a more objective classification system.
The research, published in Proceedings of the National Academy of Sciences, analyzed nearly 2,000 footprint silhouettes spanning 150 million years. The algorithm identified key features such as toe spread, heel position, load distribution, and left-right asymmetry, which together explain differences in footprint shape. Experts then mapped these traits to known dinosaur groups to guide identification of future discoveries.
Researchers say the method does not eliminate uncertainty, as footprint shape can vary depending on behavior, ground conditions, burial processes, and erosion. Still, it provides a consistent framework to compare tracks across time and locations. One notable result supported earlier findings that certain 210-million-year-old footprints from South Africa resemble bird tracks, despite predating the earliest known bird fossils by tens of millions of years.
The findings suggest AI can become a powerful tool in paleontology, helping scientists reconstruct ancient ecosystems and better understand dinosaur diversity, even when bones are absent and only footprints remain.



