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AI Reveals Leopards Hunted Human Ancestors 1.8 Million Years Ago: Study

A new study uses artificial intelligence to confirm with unprecedented accuracy that leopards preyed on and consumed early hominins in East Africa.

A groundbreaking study has revealed that leopards likely hunted our ancient relative, Homo habilis, nearly two million years ago in what is now Tanzania. By employing advanced artificial intelligence (AI), researchers have analyzed fossilized remains, providing the most definitive evidence to date of the specific predators that once feasted on early human ancestors, according to Livescience.com.

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A study using artificial intelligence confirmed that leopards preyed on and consumed Homo habilis approximately 1.8 million years ago in Tanzania's Olduvai Gorge, analyzing fossilized remains of a juvenile (OH 7) and an adult (OH 65) to identify carnivore tooth marks with over 90% accuracy.
AI Reveals Leopards Hunted Human Ancestors 1 8 Million Years Ago Study

The findings, published on September 16 in the Annals of the New York Academy of Sciences, address a long-standing challenge in paleontology. While scientists have long suspected that large carnivores preyed on early hominins, identifying the exact culprit from tooth marks on ancient bones has been notoriously difficult using traditional methods alone. This new research demonstrates how AI is revolutionizing the field.

"AI has opened new doors of understanding," said study co-author Manuel Domínguez-Rodrigo, a professor of prehistory at the University of Alcalá in Spain.

How AI Became the Detective

The key to the discovery was a sophisticated form of artificial intelligence called computer vision. This technology trains computers to "see" and interpret images much like humans do.

The research team first built a digital library by training deep learning models-a type of AI inspired by the human brain-on hundreds of images of bone markings left by modern carnivores like leopards, hyenas, and crocodiles. By feeding the AI these known examples, they taught it to recognize the unique patterns each animal's bite leaves behind.

In blind tests, the top-performing model could identify the correct predator with over 90% accuracy, a massive leap in certainty compared to traditional visual analysis.

The Victims and the Evidence

The investigation centered on two Homo habilis specimens discovered decades ago in Tanzania's famous Olduvai Gorge: a juvenile (OH 7) and an adult (OH 65), dated to around 1.8 million years ago.

"We chose those two fossils because they are most unambiguously identified as H. habilis and because they are probably the best preserved specimens," Domínguez-Rodrigo told Live Science.

Upon re-examining the fossils, the team identified previously undocumented carnivore tooth marks on the adult's upper jaw and the juvenile's lower jaw. When they applied their trained AI system to these marks, the results pointed overwhelmingly to a single predator: the leopard. The study documents this conclusion with "unprecedented reliability."

More Than Just a Bite

The evidence strongly suggests the two individuals were not just attacked but were fully consumed by the big cats.

"The fact that very few pieces of the skeleton survived indicates a high degree of ravaging," explained Domínguez-Rodrigo. He noted that leopards are flesh-eaters and would have been uninterested in a carcass already picked clean by another predator.

The specific location of the bite marks further supports this conclusion. "We know that to reach the inside of the mandible [lower jaw] of OH7 (as the leopard did) and break the mandibular corpus, a substantial amount of flesh and tongue had to be removed first," Domínguez-Rodrigo said. "This indicates consumption and not just a bite to kill."

This pioneering use of AI not only solves a prehistoric cold case but also provides a vivid glimpse into the perilous world our ancient ancestors navigated, where they were not always the hunters, but sometimes the hunted.

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