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Volume 603 Issue 7900, 10 March 2022

Predicting the past

Inscriptions provide an invaluable insight into the ancient world. But over the centuries, many inscriptions have been damaged and exist in fragmented or semi-legible forms, making the job of reading and interpreting them extremely difficult. In this week’s issue, Yannis Assael, Thea Sommerschield and their team introduce Ithaca, a deep neural network designed to help historians restore and understand ancient Greek inscriptions. Working alone, Ithaca is able to restore damaged texts with a 62% accuracy, but when historians use Ithaca, their accuracy on the same task rises to 72%. Ithaca can also determine the original geographical location of inscriptions with 71% accuracy, and can date them to within 30 years from the date ranges proposed by historians. The researchers say that such cooperation between artificial intelligence and historians could help transform studies of the ancient world.

Cover image: Adam Cain/Domhnall Malone/DeepMind

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