Scientists at the University of Chicago revealed that they deploy AI to translate the records on ancient clay tablets, found by archeologists in the ancient city of Persepolis in the 1930s, reported university on March 11.

University Oriental Institute and Department of Computer Science are working on machine learning algorithm  DeepScribe that can  “reveal rich information about Achaemenid history, society and language”, shared university in the press release.

Trained on the data set of more than 6,000 images, AI model   can “decipher cuneiform signs with about 80% accuracy”, which, according to the associate professor of Assyriology Susanne Paulus, is already enough to accelerate research, giving experts “a place to start”.

AI-powered archeological studies could be “field-changing”, highlighted Paulus: researchers hope to extent the AI model capabilities to different languages and historical time periods and share their work with other archeologists.

As Future Time previously reported, researchers from the University of Leeds have developed a robot that can assist archeological discoveries in Egypt, hoping it could help to solve some mysteries of Egyptian architecture marvels, without destroying the structure itself.

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