Researchers at the University of Edinburgh and Helmholtz-Zentrum in Germany have developed a groundbreaking AI-powered app that can accurately identify dinosaur footprints from millions of years ago. The innovative tool, called DinoTracker, uses artificial intelligence to analyze the shape and features of fossilized footprints and determine their origin.
The researchers took a novel approach by feeding their AI system with 2,000 unlabelled footprint silhouettes and analyzing eight key features that reflected variations in the imprints' shapes. These features included the spread of toes, amount of ground contact, and heel position.
When users upload a silhouette of a footprint to the DinoTracker app, it explores seven other footprints that are most similar to the uploaded image and allows them to manipulate the footprint to see how varying these eight features can affect the clustering results. This interactive feature enables users to visualize the relationships between different footprints in unprecedented detail.
One of the most significant discoveries made by the researchers is that a set of footprints from the Triassic and early Jurassic periods show remarkable similarities with those attributed to birds, despite being 60 million years older than the oldest bird skeletons. The team suggests that these tracks were likely made by meat-eating dinosaurs with very birdlike feet, possibly even the ancestors of modern birds.
However, not all experts agree on this interpretation. Dr. Jens Lallensack from Humboldt University of Berlin pointed out that the features used to identify the bird-like tracks are based more on the shape of the footprint in soft ground rather than the actual anatomy of a dinosaur foot. This raises questions about whether these tracks provide conclusive evidence for an early appearance of birds.
The DinoTracker app has been hailed as a major breakthrough in the field of paleontology, offering new insights into the world of dinosaurs and their connections to modern life. With its cutting-edge AI technology and user-friendly interface, this innovative tool is set to revolutionize the way we understand our ancient predecessors.
The researchers took a novel approach by feeding their AI system with 2,000 unlabelled footprint silhouettes and analyzing eight key features that reflected variations in the imprints' shapes. These features included the spread of toes, amount of ground contact, and heel position.
When users upload a silhouette of a footprint to the DinoTracker app, it explores seven other footprints that are most similar to the uploaded image and allows them to manipulate the footprint to see how varying these eight features can affect the clustering results. This interactive feature enables users to visualize the relationships between different footprints in unprecedented detail.
One of the most significant discoveries made by the researchers is that a set of footprints from the Triassic and early Jurassic periods show remarkable similarities with those attributed to birds, despite being 60 million years older than the oldest bird skeletons. The team suggests that these tracks were likely made by meat-eating dinosaurs with very birdlike feet, possibly even the ancestors of modern birds.
However, not all experts agree on this interpretation. Dr. Jens Lallensack from Humboldt University of Berlin pointed out that the features used to identify the bird-like tracks are based more on the shape of the footprint in soft ground rather than the actual anatomy of a dinosaur foot. This raises questions about whether these tracks provide conclusive evidence for an early appearance of birds.
The DinoTracker app has been hailed as a major breakthrough in the field of paleontology, offering new insights into the world of dinosaurs and their connections to modern life. With its cutting-edge AI technology and user-friendly interface, this innovative tool is set to revolutionize the way we understand our ancient predecessors.