DinoTracker AI identifies bird-like ancient footprints and re-evaluates dinosaur tracks
Updated
Updated · Earth.com · May 4
DinoTracker AI identifies bird-like ancient footprints and re-evaluates dinosaur tracks
10 articles · Updated · Earth.com · May 4
Researchers in Berlin and Edinburgh said the app matched expert classifications about 90% of the time and linked disputed 170-million-year-old Isle of Skye tracks to early duck-billed dinosaur relatives.
Trained on nearly 2,000 fossil footprints and millions of simulated distortions, the system aims to reduce bias in interpreting tracks altered by mud, movement, compression and erosion.
The findings, published in PNAS, could sharpen fieldwork and public identification of footprints while reopening debate over whether bird-like feet appeared far earlier than many evolutionary timelines suggest.
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DinoTracker AI Reveals Bird-Like Triassic Footprints, Potentially Rewriting Avian Origins by 60 Million Years
Overview
In April 2026, DinoTracker researchers discovered bird-like footprints from the Late Triassic and Early Jurassic periods, suggesting birds may have originated 60 million years earlier than previously thought. This challenges the established timeline of bird evolution but requires caution due to possible convergent evolution and environmental distortions affecting footprint shapes. DinoTracker's AI, trained on thousands of confirmed footprints using unsupervised learning, enables rapid and objective classification, reducing human error. The simultaneous launch of the DinoTracker app invites public participation, expanding the global footprint dataset while addressing data quality through AI screening and education. Despite limitations like 2D analysis and manual tracing errors, future 3D integration and AI refinement promise to enhance accuracy and broaden applications beyond dinosaurs.