Researchers from tech giant Google’s (GOOGL) DeepMind recently introduced Aeneas, an AI model that is designed to help historians understand and interpret ancient Roman inscriptions. These writings, which can be found on monuments, everyday objects, and even graffiti, are important for learning about Roman life, but are often incomplete or damaged. Traditionally, analyzing them required a lot of manual work. However, Aeneas solves this problem by finding similar texts, restoring missing pieces, and placing inscriptions in their historical context much faster than before.
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The model was created by the University of Nottingham in partnership with the Universities of Warwick, Oxford, and the Athens University of Economics and Business. It builds on a previous tool called Ithaca, which focused on Greek inscriptions, but has been expanded to add Latin and uses a much larger database of over 176,000 examples. Interestingly, Aeneas can process both text and images, which allows it to figure out where an inscription came from and fill in gaps even when the missing length is unknown. This makes it especially useful for damaged artifacts.
Notably, Aeneas has already proven to be useful in debates about famous inscriptions, such as the Res Gestae of Augustus. Instead of predicting one exact date, it provides a range of likely dates and explains the clues it used. In addition, tests with professional historians showed that the tool improved their accuracy and helped them spot connections they might not have noticed otherwise. As a result, Aeneas is being shared openly to support research and museum work, with plans to add other ancient languages and artifacts in the future.
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