Photo credit: IBM via LiveScience
Researchers from Japan’s Yamagata University Institute of Nasca and IBM used an AI-powered deep learning system to uncover more figures in the Nazca Lines, including a humanoid-like alien. To achieve this, the deep learning system was trained on existing geoglyphs, resulting in a model that can automatically find candidate sites for new terrestrial markings from aerial photographs.
Without the help of AI, it took study lead author Masato Sakai and his team 5-years to analyze the aerial photographs of the entire region. In 2016, high-resolution images of the Nazca Lines were obtained and then processed by a deep learning system that is 21-times faster than a human at finding geoglyphs.
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We found that AI can do in one year what it would take more than 20 years by human power alone. This will further accelerate the study of geoglyphs,” Masato Sakai, Professor of Cultural Anthropology and Andean Archaeology at Yamagata University Institute of Nasca.
