Gaps in our knowledge of ancient Rome could be filled by AI
A new AI system developed by researchers can help fill the gaps in our understanding of ancient Roman texts. The system is designed to recover missing words from ancient inscriptions found on monuments, buildings, and everyday objects. Inscriptions from the Roman era often have missing or damaged sections, making it challenging for historians and linguists to fully decipher the original text. The AI system uses machine learning algorithms to analyze the context and linguistic patterns of the existing text, and then suggests the most likely missing words. This technology could significantly enhance our knowledge of ancient Roman culture, society, and language. By restoring the complete text of these inscriptions, researchers can gain deeper insights into various aspects of Roman life, from administrative practices to religious beliefs. The development of this AI-powered tool represents an important step forward in the field of digital humanities, showcasing how advanced technologies can be leveraged to uncover and preserve the knowledge of the past.
π° Article Preview
This is an AI-generated summary of the original article. For the complete story with full details, images, and additional context, please visit the original source.

The original article may contain additional images, videos, and multimedia content not shown in this summary.
Share this article
Read the Full Article
Get the complete story with full details, images, and additional context from the original source.
Visit BBC