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AI Unlocks Ancient Scrolls Carbonized by Vesuvius Eruption

Published on: 02 Jul 2026, 12:45 AM
AI Unlocks Ancient Scrolls Carbonized by Vesuvius Eruption

A significant technological breakthrough has allowed researchers to read the contents of a scroll from the ancient Herculaneum library, which was carbonized during the eruption of Mount Vesuvius in 79 CE. The scroll, part of a collection of hundreds of similar documents, had been too fragile to physically unroll. Using high-resolution X-ray imaging and machine learning algorithms, scientists virtually unwrapped the scroll and enhanced the visibility of the ink, enabling scholars to decipher the text.

The scroll has been identified as a treatise on ethics, possibly written by the Stoic philosopher Chrysippus. This discovery is the result of a collaborative effort that combines advanced imaging techniques with artificial intelligence. The data and code used in the process have been made publicly available to encourage further research and replication.

The Herculaneum library is unique among ancient sites because it contains a vast number of texts that were preserved, albeit in a charred state, by the volcanic eruption. Until now, these scrolls remained inaccessible due to their fragility. The success of this virtual unwrapping method opens the possibility of reading many more lost works from antiquity.

Classicists and historians have expressed enthusiasm about the potential to rediscover texts that were thought to be lost forever. Among the works that could be recovered are the lost dialogues of Aristotle, described by Cicero as a 'river of gold', and the Etruscan dictionary written by the Emperor Claudius, a known enthusiast of the Etruscan language and culture.

This achievement underscores the value of interdisciplinary approaches, combining computer science, archaeology, and classical studies. The project also raises questions about the preservation of cultural heritage through digital means and the ethical considerations of making such data open to all.

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