Prehistoric predator? Artificial intelligence says no
An artistic digital rendition of the recently identified dinosaur.
Credit: Dr Anthony Romilio
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 Interface and 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.
DOI: 10.1098/rsif.2022.0588
Article Publication Date: 9-Nov-2022
All latest news from the category: Information Technology
Here you can find a summary of innovations in the fields of information and data processing and up-to-date developments on IT equipment and hardware.
This area covers topics such as IT services, IT architectures, IT management and telecommunications.
Newest articles
Microscopic basis of a new form of quantum magnetism
Not all magnets are the same. When we think of magnetism, we often think of magnets that stick to a refrigerator’s door. For these types of magnets, the electronic interactions…
An epigenome editing toolkit to dissect the mechanisms of gene regulation
A study from the Hackett group at EMBL Rome led to the development of a powerful epigenetic editing technology, which unlocks the ability to precisely program chromatin modifications. Understanding how…
NASA selects UF mission to better track the Earth’s water and ice
NASA has selected a team of University of Florida aerospace engineers to pursue a groundbreaking $12 million mission aimed at improving the way we track changes in Earth’s structures, such…
