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A capstone project by four computer science seniors at U of A is revolutionizing the study of Pompeii, an ancient Roman city preserved by volcanic ash. By utilizing advanced AI techniques like convolutional neural networks and large language models, the team is unlocking new insights from the vast archaeological data of Pompeii. This innovative approach allows researchers to analyze over 15,000 images and captions in ways previously deemed impossible.
The project, known as PPM Explorer (PPMx), builds on earlier work and incorporates cutting-edge Microsoft Azure tools to enhance data search capabilities. The new web-hosted version of PPMx will provide global access to scholars and the public, significantly improving the understanding of Pompeii's art and architecture. This collaboration exemplifies how AI can drive breakthroughs in the digital humanities, offering a holistic view of the themes and motifs present in Pompeii.
• AI techniques enhance archaeological data analysis of Pompeii.
• PPMx allows global access to Pompeii's art historical data.
CNNs are used to track similarities in wall painting images, enhancing data analysis.
NLP tracks patterns in Italian captions, allowing for thematic analysis of Pompeii's art.
Azure AI tools improve the efficiency and accuracy of searching through archaeological data.
Microsoft provides Azure tools that enhance the functionality and efficiency of the PPMx project.
National Geographic news 18month
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