Ethiopic

The origins of ancient writing systems have long fascinated historians and linguists alike, but a groundbreaking new study using artificial intelligence has revealed surprising structural connections between scripts from Africa and the Caucasus. Researchers from San Diego State University (SDSU) have found that the Armenian alphabet shares striking structural similarities with the ancient Ethiopic writing system, also known as Ge'ez, challenging long-held assumptions about the independent development of these ancient scripts. The study, published in Digital Scholarship in the Humanities, employed a deep convolutional neural network named "FeedelLigence" to objectively measure structural similarities across thousands of characters. By moving beyond the subjective visual impressions that have guided historical linguistics for decades, scientists were able to provide quantitative evidence for connections