Menu

Artificial Intelligence Helps to Read Damaged Ancient Scripts on Stone

22 October 2019

Greek researcher Yannis Assael and his colleagues at Google subsidiary DEEP MIND and University of Oxford created "Pythia,” an artificial intelligence algorithm trained to assist historians in deciphering eroded Ancient Greek inscriptions. Pythia learned to recognize some 35,000 eroded texts containing over 3 million words. These texts were found on varied surfaces like stone, ceramic, and metal and ranged from the 7th centuty BC to the 5th century AD (1,500 to 2,700 years old).

Source: Kathimerini.gr

November 2019 > <
F 1 S 2 S 3 M 4 T 5 W 6 T 7 F 8 S 9 S 10 M 11 T 12 W 13 T 14 F 15 S 16 S 17 M 18 T 19 W 20 T 21 F 22 S 23 S 24 M 25 T 26 W 27 T 28 F 29 S 30
OUR VIDEOS
Gilman Scholars’ Regional Career Summit @Thessaloniki Greece
U.S. Ambassador Pyatt's interview with ERT

This website uses cookies to manage authentication, navigation, and other functions. Accessing our website, you agree that we can use these types of cookies.

OK