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Deep learning AI beats expert scholars at deciphering ancient texts

Scholars created an artificial intelligence that beat them at filling in the gaps of 2949 pieces of ancient text

By Jak Connor on Oct 21, 2019 06:09 am CDT - 1 min, 24 secs reading time

Researchers at the University of Oxford built and trained a neural network to be able to fill in the letter gaps of ancient texts, and now the AI is better than expert scholars.

Deep learning AI beats expert scholars at deciphering ancient texts | TweakTown.com

The researchers tested the AI on ancient Greek inscriptions that were on objects such as stones, ceramics and metal. The texts are dated back to 1500 and 2600 years ago, and according to a report out of New Scientist, the AI creamed the humans in a head-to-head speed test at deciphering the artifacts. "In a head-to-head test, where the AI attempted to fill the gaps in 2949 damaged inscriptions, human experts made 30 percent more mistakes than the AI. Whereas the experts took 2 hours to get through 50 inscriptions, Pythia gave its guesses for the entire cohort in seconds."

New Scientist says that the AI which has been titled as Pythia was able to recognize and remember patterns in 35,000 different relics that amassed over 3 million words. It was also able to pick up patterns and include context such as the shape and layout within its descriptions. Pythia gives scholars predictions for missing letters or words within the text and rather than returning to the scholars with a single prediction Pythia gives multiple predictions and its level of confidence for each one.

In summary, Pythia isn't designed to replace scholars but instead assist them in the process of deciphering ancient texts. Pythia gives the scholars multiple predictions and from there the scholar assesses which is the best one to choose from.

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Jak Connor

ABOUT THE AUTHOR - Jak Connor

Jaks love for technology and more specifically PC gaming began at 10 years old, it was the day his dad showed him how to play Age of Empires on a old Compaq PC. Ever since that day, Jak fell in love with games and the progression of the technology industry in all its forms. Instead of the typical FPS PC gamer, Jak enjoys the likes of a solid MMO, RPG, or a single-player linear story. More importantly, though, he holds a very special spot in his heart for RTS games.

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