Machine learning researchers have accomplished a significant breakthrough in digital archaeology by successfully revealing the author and title of a carbonized ancient scroll from the Vesuvius eruption. The achievement marks a crucial step forward in unlocking previously inaccessible historical texts through advanced AI techniques, potentially revolutionizing how scholars access and study ancient literature damaged beyond conventional reading methods.
The big picture: Machine learning researchers have won a $60,000 prize for deciphering the title and author of a sealed papyrus scroll carbonized by Mount Vesuvius’s eruption in 79 AD, identifying it as “On Vices” by the Greek philosopher Philodemus.
How they did it: The winning team adapted an AI model typically used for medical image analysis to reveal text from the ancient document.
Why this matters: The achievement represents a milestone in efforts to access hundreds of intact but extremely fragile scrolls discovered in Herculaneum in 1752.
Historical context: The Herculaneum scrolls represent one of the most significant caches of ancient literature ever discovered, preserved but rendered seemingly unreadable by the catastrophic volcanic eruption.