NVIDIA AI Podcast
Ep. 11: How a Computer Scientist Uses AI to Read Lost Literature
Feb 28, 2017
Brent Seales, a University of Kentucky Computer Science Professor, uses AI to read ancient texts, such as the En-Gedi scroll and scrolls from Herculaneum. The podcast discusses the challenges of digitizing and analyzing fragile scrolls using image recognition and AI tools. It explores the use of tomography and machine learning to decipher lost literature from antiquity and highlights the potential of AI in uncovering hidden knowledge in ancient texts.
17:24
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Quick takeaways
- Brent Seals uses AI to recover content from ancient, unreadable scrolls through non-invasive scanning methods.
- Seals applies tomographic technologies to image and decipher damaged artifacts, advancing the field of computational archaeology.
Deep dives
Applying AI to Read Ancient Scrolls
Brent Seals, a computer science professor, applies artificial intelligence to read ancient scrolls that are extremely damaged and unreadable. By combining computational methods with antiquities, Seals found ways to digitize and access information from these challenging texts that are difficult to photograph.
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