A pair of researchers at Northern Arizona University used GPU-based deep-learning algorithms to categorize sherds — tiny fragments of ancient pottery — as well as, or better than, four expert archaeologists. The technique, outlined in a paper published in the June issue of The Journal of Archaeological Science by Leszek Pawlowicz and Christian Downum focused Read article >
The post Sherd Alert: GPU-Accelerated Deep Learning Sorts Pottery Fragments as Well as Expert Archeologists appeared first on The Official NVIDIA Blog.
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