Vesuvius Uses 3D Deep Learning and MongoDB Atlas to Restore Ancient Scrolls
| Source: Dev.to | Original article
Researchers use 3D deep learning and MongoDB Atlas to recover ancient scrolls from Herculaneum.
Researchers have made a significant breakthrough in recovering ancient scrolls using 3D deep learning and MongoDB Atlas, a project dubbed Vesuvius. The team, led by Sahasra Kotagiri and Hridya Siddu, has successfully applied machine learning and computer vision to virtually unroll and decipher the carbonized Herculaneum scrolls, which were buried under volcanic ash from Mount Vesuvius in 79 AD. This project builds upon the Vesuvius Challenge, a competition that has awarded $1,700,000 in prizes for advancements in reading the ancient scrolls.
The breakthrough matters because it has the potential to unlock lost works of ancient philosophy, literature, and science. The technology developed through the Vesuvius Challenge can be adapted to decipher other lost texts, such as the 140 carbonized papyrus scrolls discovered in Petra, Jordan. While AI models can generate images of the scrolls' contents, human scholars are still needed to interpret the text and unlock its secrets.
As the project moves forward, it will be exciting to watch how the combination of 3D deep learning and MongoDB Atlas enables further discoveries. The Vesuvius Challenge has already shown that collaboration between researchers and the public can lead to significant breakthroughs, and it will be interesting to see how this project inspires new initiatives to recover and interpret lost texts from ancient civilizations.
Sources
Back to AIPULSEN