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Machine learning reveals the contents of ancient scrolls and stone tablets

Luke Farritor, a computer science student at the University of Nebraska–Lincoln, has used machine learning to decipher a carbonized scroll from ancient Herculaneum that was previously unreadable. His algorithm identified Greek letters on the papyrus, including the word “purple.” This breakthrough could revolutionize our understanding of ancient history and literature. AI is also being used to decode cuneiform tablets from ancient Sumeria and damaged Ancient Greek tablets, demonstrating the power of merging technology with human curiosity in uncovering our shared past.

 Machine learning reveals the contents of ancient scrolls and stone tablets

Machine learning reveals the contents of ancient scrolls and stone tablets

A breakthrough in machine learning has allowed researchers to decipher the text inside ancient scrolls and stone tablets that have remained unreadable for centuries. This technology has the potential to revolutionize our understanding of ancient history and literature.

Decoding ancient scrolls with AI

Luke Farritor, a computer science student, successfully used machine learning to identify Greek letters on a carbonized scroll from ancient Herculaneum. By training a neural network to detect ink based on surface texture, Farritor was able to reveal previously unreadable text, including the word ‘purple’.

Previously, attempts to read these scrolls were hindered by their fragile state, as manually unrolling them would cause them to disintegrate. Farritor’s breakthrough offers a practical solution for deciphering these ancient texts without causing damage.

Unlocking the secrets of cuneiform tablets

Machine learning is also being used to decode cuneiform tablets, which were used by the ancient Sumerians over six millennia ago. These tablets contain a wealth of information about ancient civilizations, but only a small number of experts can decipher them.

Researchers are using machine learning techniques to predict missing sections of text and align fragments, allowing them to fill gaps in our knowledge of ancient Sumerian culture.

The future of AI in deciphering ancient languages

These breakthroughs demonstrate the potential of AI in unlocking the mysteries of ancient languages and texts. By combining human curiosity with technological advancements, we can preserve, revive, and understand our shared past in unprecedented ways.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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