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Prehistoric predator? Artificial intelligence says no

Date:
November 15, 2022
Source:
University of Queensland
Summary:
Artificial intelligence has revealed that prehistoric footprints thought to be made by a vicious dinosaur predator were in fact from a timid herbivore.
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Artificial intelligence has revealed that prehistoric footprints thought to be made by a vicious dinosaur predator were in fact from a timid herbivore.

In an international collaboration, University of Queensland palaeontologist Dr Anthony Romilio used AI pattern recognition to re-analyse footprints from the Dinosaur Stampede National Monument, south-west of Winton in Central Queensland.

"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 metres long," said Dr 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."

It was trained with 1,500 dinosaur footprints, all of which were theropod or ornithopod in origin -- the groups of dinosaurs relevant to the Dinosaur Stampede National Monument prints.

The results were clear: the tracks had been made by a herbivorous ornithopod dinosaur.

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

"We were pretty stuck, so thank god for modern technology," Dr Lallensack said.

"In our research team of three, one person was pro-meat-eater, one person was undecided, and one was pro-plant-eater.

"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 per cent.

"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 is published in the Journal of the Royal Society Interfaceand includes collaborations between Australian, German, and UK researchers.

A replica of the dinosaur trackway is on display at the Queensland Museum, Brisbane, and the track site can be visited near south-west of Winton, Queensland.


Story Source:

Materials provided by University of Queensland. Note: Content may be edited for style and length.


Journal Reference:

  1. Jens N. Lallensack, Anthony Romilio, Peter L. Falkingham. A machine learning approach for the discrimination of theropod and ornithischian dinosaur tracks. Journal of The Royal Society Interface, 2022; 19 (196) DOI: 10.1098/rsif.2022.0588

Cite This Page:

University of Queensland. "Prehistoric predator? Artificial intelligence says no." ScienceDaily. ScienceDaily, 15 November 2022. <www.sciencedaily.com/releases/2022/11/221115113742.htm>.
University of Queensland. (2022, November 15). Prehistoric predator? Artificial intelligence says no. ScienceDaily. Retrieved November 20, 2024 from www.sciencedaily.com/releases/2022/11/221115113742.htm
University of Queensland. "Prehistoric predator? Artificial intelligence says no." ScienceDaily. www.sciencedaily.com/releases/2022/11/221115113742.htm (accessed November 20, 2024).

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