Aeneas transforms how historians connect the past
Google DeepMind
Researchers released Aeneas, an AI model that helps historians interpret, restore, and contextualize fragmentary ancient Roman inscriptions by identifying textual and contextual parallels. The model was trained on a dataset of 176,000 Latin inscriptions and achieves 73% accuracy when restoring damaged text gaps up to ten characters and 72% accuracy in attributing inscriptions to one of 62 ancient Roman provinces. The tool is freely available to researchers and students at predictingthepast.com, with historians in testing reporting increased confidence and faster identification of parallel texts for their research.
Why it matters
Introducing the first model for contextualizing ancient inscriptions, designed to help historians better interpret, attribute and restore fragmentary texts.
