AI Cracks 3000-Year-Old Cuneiform, Revolutionizing Ancient Studies
2025-03-08
Researchers from Cornell and Tel Aviv Universities have developed ProtoSnap, an AI system that automatically identifies and copies cuneiform characters from 3000-year-old tablets. Using a diffusion model, ProtoSnap compares pixel similarity between an image of a character and a prototype, accurately recreating characters despite variations in writing styles and age. This drastically accelerates cuneiform translation and research, providing massive datasets for studying ancient societies and offering new insights into their religion, economy, social structures, and legal systems.
AI
Cuneiform