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Archeologists have taught computers to sort ancient pottery fragments

Archeologists at Northern Arizona University have taught computers to sort pottery fragments by design and style using machine learning to assist in classification and reconstruction. ....

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Machine Learning Sorts Ancient Pottery Fragments - Archaeology Magazine

Thursday, May 20, 2021
FLAGSTAFF, ARIZONA According to a statement released by Northern Arizona University, researchers Leszek Pawlowicz and Chris Downum used a form of machine learning known as Convolutional Neural Networks (CNNs) to sort pottery fragments into stylistic categories. Different types of pottery can be correlated with different groups of people and time periods, and therefore provide valuable information about archaeological sites. But identifying these pottery types by hand is time-consuming. Pawlowicz and Downum first collected thousands of digital photographs of examples of fragments of Tusayan White Ware, which is often found in northeastern Arizona, and asked experts to classify each photograph by its type of pottery design. These photographs were then used to “train” a computer to learn pottery types. Pawlowicz said that the computer was eventually able to identify pottery types, sometimes with greater accuracy than the human experts. The machine was a ....

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Archaeologists teach computers to sort ancient pottery

Machine learns to categorize pottery comparable to expert archaeologists, matches designs among thousands of broken pieces ....

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Systemic sclerosis accurately screened on laptop

“We believe that the proposed network architecture could easily be implemented in a clinical setting, providing a simple, inexpensive and accurate screening tool for SSc.”
According to the University of Houston, early diagnosis of SSc is critical but often elusive. Studies have shown that organ involvement could occur far earlier than expected in the early phase of the disease, but early diagnosis and determining the extent of disease progression pose a significant challenge for physicians, resulting in delays in therapy and management.
In artificial intelligence, deep learning organises algorithms into layers – an artificial neural network – that can make its own decisions. To speed up the learning process, the new network was trained using the parameters of MobileNetV2, a mobile vision application, pre-trained on the ImageNet dataset with 1.4 million images. ....

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Proposed network offers a simple, accurate screening tool for systemic sclerosis

Proposed network offers a simple, accurate screening tool for systemic sclerosis
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