New AI method tackles century-old challenge of identifying which dinosaur made which footprints

2 Sources

Share

Researchers developed an AI-powered approach that analyzes eight distinct traits in dinosaur footprints to determine which species left them. The algorithm examined 1,974 footprint silhouettes spanning 150 million years, offering paleontologists an objective tool to solve a challenge that has sparked debate for generations.

AI Transforms Dinosaur Footprint Analysis

Matching tracks to trackmakers has long been one of paleontology's most persistent challenges. For generations, scientists have debated which dinosaur species created which fossilized footprints, relying heavily on subjective human interpretation. Now, researchers at Helmholtz-Zentrum Berlin and the University of Edinburgh have developed a new AI method that brings objectivity to this century-old puzzle

1

.

The artificial intelligence system analyzes eight distinct traits in dinosaur footprints to identify which dinosaur made footprints with unprecedented precision. Lead author Gregor Hartmann, a physicist at Helmholtz-Zentrum Berlin, emphasizes the significance: "This is important because it provides an objective way to classify and compare tracks, reducing reliance on subjective human interpretation"

1

. The research, published in the Proceedings of the National Academy of Sciences, represents a major step forward in how paleontologists approach fossil analysis.

Source: Reuters

Source: Reuters

Training the Algorithm on 150 Million Years of History

The AI-powered approach was refined through analysis of 1,974 footprint silhouettes spanning 150 million years of dinosaur history

2

. The algorithm identified eight features that explain variance in track shapes: overall load and shape reflecting the foot's ground contact area, position of loading, spread of toes, how toes attach to the foot, heel position, load from the heel, relative emphasis of toes versus heel, and shape discrepancy between left and right sides of the track

1

.

Many of these footprints had been previously identified by experts with confidence. After the algorithm identified the differentiation traits, researchers charted how those corresponded to various dinosaur species to guide identification of future tracks. This collaborative approach between AI and human expertise creates a framework that future paleontologists can use to analyze newly discovered fossils more systematically.

Why Dinosaur Footprints Matter More Than You Think

Footprints rank among the most common dinosaur fossils, often more abundant than bones, teeth, or claws

2

. These tracks reveal critical information about the type of environment a dinosaur inhabited and, when multiple tracks are present, the types of animals that shared an ecosystem. Steve Brusatte from the University of Edinburgh, senior author of the study, notes that "matching track to trackmaker is a huge challenge, and paleontologists have been arguing about this for generations"

1

.

The challenge stems from the rarity of finding a dinosaur skeleton at the end of a trackway. Brusatte could recall only one such instance, meaning scientists must "play detective" with footprints, attempting to match dinosaur feet to prints "the same thing as the prince in Cinderella when he matched Cinderella's foot to the slipper"

2

. The size variation adds another layer of complexity—from meat-eating dinosaur footprints about the size of chicken tracks to sauropod dinosaur footprints the size of a bathtub

1

.

The Complexity Behind Each Track

Identifying who made a fossilized footprint remains inherently uncertain, according to Hartmann. Track shape depends on numerous factors beyond the animal itself: what the dinosaur was doing—walking, running, jumping, or swimming—the moisture and type of substrate, how the footprint was buried by sediment, and erosion over millions of years

1

. The same dinosaur can leave dramatically different-looking tracks depending on these variables, making traditional identification methods prone to error.

Ancient Bird-Like Footprints Spark New Questions

The algorithm made one particularly intriguing discovery when examining seven small, three-toed footprints approximately 210 million years old from South Africa. It validated prior scientific assessments that these tracks closely resemble those of birds, despite being 60 million years older than the earliest-known avian fossils

1

. Birds evolved from small bipedal feathered dinosaurs, making this finding particularly significant.

Brusatte cautions that this doesn't prove birds made the tracks. They may have been created by previously unknown dinosaurs ancestral to birds or by dinosaurs unrelated to birds that merely had bird-like feet. "So we have to take this seriously and find an explanation for it," he stated

2

. This discovery demonstrates how AI can surface patterns that challenge existing timelines and prompt new research directions.

What This Means for Future Paleontology Research

This AI method offers paleontologists a standardized tool for analyzing the chaotic jumble of tracks sometimes found at fossil sites—what researchers describe as resembling a "dinosaur discotheque"

1

. The objective classification system reduces disputes among experts and accelerates identification of newly discovered tracks. As more footprint data feeds into the system, the algorithm's accuracy should improve, potentially revealing patterns invisible to human observers. Researchers should watch for applications of this technology to other fossil types and ecosystems, as the methodology could extend beyond dinosaurs to other prehistoric creatures that left tracks in ancient sediments.

Source: ET

Source: ET

Today's Top Stories

TheOutpost.ai

Your Daily Dose of Curated AI News

Don’t drown in AI news. We cut through the noise - filtering, ranking and summarizing the most important AI news, breakthroughs and research daily. Spend less time searching for the latest in AI and get straight to action.

© 2026 Triveous Technologies Private Limited
Instagram logo
LinkedIn logo