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AI Says Dino Footprints Don’t Belong To A Predator

  • November 30, 2022
  • Ackley Wyndam

Prehistoric footprints attributed to a vicious dinosaur predator are actually from a timid herbivore, artificial intelligence indicates.

University of Queensland paleontologist Anthony Romilio used AI pattern recognition to re-analyze footprints from the Dinosaur Stampede National Monument, south-west of Winton in Central Queensland.


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“Large dinosaur footprints were first discovered back in the 1970s at a track site called the Dinosaur Stampede National Monument, and for many years they were believed to be left by a predatory dinosaur, like Australovenator, with legs nearly two meters long,” says Romilio.

“The mysterious tracks were thought to be left during the mid-Cretaceous Period, around 93 million years ago. But working out what dino species made the footprints exactly—especially from tens of millions of years ago—can be a pretty difficult and confusing business.

“Particularly since these big tracks are surrounded by thousands of tiny dinosaur footprints, leading many to think that this predatory beast could have sparked a stampede of smaller dinosaurs.

“So, to crack the case, we decided to employ an AI program called Deep Convolutional Neural Networks.”

The program was trained with 1,500 dinosaur footprints, all theropod or ornithopod in origin—the groups of dinosaurs relevant to the Dinosaur Stampede National Monument prints.

The results were clear: the tracks are from an herbivorous ornithopod dinosaur.

Jens Lallensack, lead author from Liverpool John Moores University in the UK, says that the computer assistance was vital, as the team was originally at an impasse.

“We were pretty stuck, so thank god for modern technology,” Lallensack says.”In our research team of three, one person was pro-meat-eater, one person was undecided, and one was pro-plant-eater.

Read More  Push For AI Innovation Can Create Dangerous Products

“So, to really check our science, we decided to go to five experts for clarification, plus use AI. The AI was the clear winner, outperforming all of the experts by a wide margin, with a margin of error of around 11%.

“When we used the AI on the large tracks from the Dinosaur Stampede National Monument, all but one of these tracks was confidently classified as left by an ornithopod dinosaur—our prehistoric ‘predator.’”

The team hopes to continue to add to the fossil dinosaur tracks database and conduct further AI investigations.

The research appears in the Journal of the Royal Society Interface.

Source: University of Queensland

Original Study DOI: 10.1098/rsif.2022.0588

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Ackley Wyndam

Related Topics
  • AI
  • Dinosaur
  • Neural Networks
  • University of Queensland
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