Video trip to ancient Rome and Greece; Artificial intelligence regenerates history

Quoted by ISNA; Classical study scientists have created a new tool based on artificial intelligence that produces images of ancient times with more historical accuracy. Their approach provides not only more logical images, but also new opportunities to explore and understand the ancient world.

Felix Maier, a professor of ancient history, accompanied by Phillip Strewbel, a computational linguist from the University of Zurich (UZH). In collaboration with each other, the two have created a renovation platform called “Re-Experience History” that uses artificial intelligence to produce images with historical information from ancient Greece and Roman.

The platform integrates three models of artificial intelligence that are trained based on academic literature and ancient sources to produce images that are rooted in scientific evidence. Artificial intelligence images often rely on modern and digital aesthetics, which can lead to ridiculous inconsistencies.

The design of this platform is similar to the ChatGpt chat, but it also comes with other features. Users can choose from three image production models, each offering different strengths. They can also automatically correct requests and set the input text, which is an image creation guide. This tool is intended for use in studies, education and museums.

Meyer says:

This platform allows historians to develop new perspectives. If we want to create a picture of a victory event in Rome, we have to ask ourselves accurate questions. How much was the conqueror visible among the crowded crowd? How was the victory displayed to make it effective and what path did the parade follow? Artificial intelligence may use today’s parade images. Pictured people may also be very muscular and shaved, and the ancient Roman city may look very clean.

“It was not easy to show the city and to have ordinary people,” said Stroller. The new platform, whose artificial intelligence is fed by accurate reconstruction of scientists’ work, can now create much more credible and more accurate images.

This approach was effective from the beginning. The team called on students of ancient history to test different models of artificial intelligence. According to students’ feedback, the tool made them see Roman victories in a completely new view. The team hopes to achieve similar results through planned museums so that visitors can use the platform to produce their images based on selected exhibition topics. In line with collaborative practices, they can create small exhibitions inside large exhibitions.

According to them, even if the images produced are not accurate in all the historical details, these inaccuracies and defects can provide valuable educational experiences. The team’s approach creates new questions, even if the photos are not perfectly produced.