Aeneas is an advanced AI model developed by Google DeepMind, designed to assist historians in restoring, dating, and contextualizing fragmentary ancient Latin inscriptions. By analyzing both textual and visual data, Aeneas provides insights into inscriptions that have been damaged or lack comprehensive contextual details, thereby offering a deeper understanding of ancient texts. Key Features and Functionality: - Parallels Search: Aeneas identifies and retrieves similar texts from a vast collection of over 176,000 Latin inscriptions, enabling historians to situate inscriptions within their broader historical context. - Multimodal Input Processing: The model processes both text and images, allowing it to analyze inscriptions even when visual information is available, enhancing its ability to determine geographical provenance. - Restoration of Texts: Aeneas can restore missing segments in inscriptions, including gaps of unknown length, making it a versatile tool for dealing with heavily damaged texts. - Geographical and Chronological Attribution: The model estimates the origin and date of inscriptions, achieving approximately 72% accuracy in classifying the province among 62 options and dating texts within about 13 years of their actual time. Primary Value and Problem Solved: Aeneas addresses the challenges historians face when working with incomplete or damaged ancient inscriptions. By automating the identification of textual parallels, restoration of missing text, and attribution of time and place, Aeneas significantly accelerates the research process. This allows historians to focus more on interpretation and analysis, thereby enhancing the understanding of ancient civilizations and their written records.