Pottery Shards Analysis
Researchers are leveraging machine learning, specifically convolutional neural networks, to address the challenges of classifying ancient pottery shards. By minimizing ambiguity and subjectivity in design interpretation, they aim to enhance our understanding of pre-literate cultures in the American Southwest. This innovative approach could reshape archaeological methodologies and deepen insights into historical trade relations and cultural affiliations.In this clip
From this podcast
The AI Podcast
Researchers Chris Downum and Leszek Pawlowicz Use Deep Learning to Accelerate Archaeology - Ep. 154
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