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AI Achieves In 6 Months What Archaeologists Could Not In Nearly 1 Century, And The Mystery Of The Nazca Lines Gains 303 New Geoglyphs

Written by Geovane Souza
Published on 07/10/2025 at 20:06
Updated on 07/10/2025 at 20:08
IA consegue em 6 meses o que arqueólogos não fizeram em quase 1 século e mistério das Linhas de Nazca ganha 303 novos geoglifos
Pesquisadores da Universidade de Yamagata, em colaboração com a IBM Research, confirmaram 303 novos geoglifos no deserto de Nazca. (Foto: National Geographic)
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In Six Months, A Team From Yamagata University With IBM Mapped 303 New Geoglyphs In The Peruvian Desert, Almost Doubling The Known Total And Redefining Hypotheses About The Nazca Lines.

Artificial intelligence has left its mark on one of the greatest archaeological enigmas on the planet. Researchers from Yamagata University, in collaboration with IBM Research, confirmed 303 new geoglyphs in the Nazca Desert in Peru, following a field campaign guided by an AI model that prioritized areas with a high probability. The study was accepted by PNAS and published in September 2024.

The progress is significant: it took almost a century to identify 430 figurative figures; the AI added 303 in just six months, almost doubling the known set. The work employed high-resolution aerial images to locate subtle patterns and guide ground verifications.

Signed by Masato Sakai and collaborators, the article details the AI strategy and its implications for the cultural interpretation of the site, which is a world heritage site of UNESCO.

The new figures include felines, parrots, monkeys, camelids, and human scenes, including people holding decapitated heads. Many measure 3 to 7 meters, which explains why they went unnoticed in previous surveys.

AI Accelerated The Survey Of The Nazca Desert

YouTube Video

The team trained a model capable of operating with few examples, due to the limited number of known geoglyphs. The AI analyzed extensive mosaics of aerial images, prioritizing “candidates” that were then checked in the field by archaeologists. There were 1,309 high-probability points and 303 confirmations after the expeditions.

According to Yamagata, the approach represented a gain of 16 times in the discovery rate and shifted the focus to small figures that are difficult to distinguish with the naked eye. Drones helped with the final documentation.

For IBM, the model was able to efficiently detect geoglyphs of “relief type”, expanding the dataset and allowing for more robust spatial and iconographic analyses.

This protocol of “AI suggests, humans confirm” is pointed out as a methodological standard for extensive areas with poorly contrasted remains, without replacing archaeological verification.

What Was Found: Animals, Rituals, And “Plates” Along Trails

The study distinguishes two groups: the “line type” geoglyphs, giant, associated with networks of lines and trapezoids, and the “relief type”, smaller, visible from ancient trails. The latter depict human motifs and domesticated animals and may have served as signs for small groups on the move.

Among the motifs, attention is drawn to orca with a cutting object, camelids, and trophy heads, common in Andean contexts. The iconographic diversity reinforces the hypothesis of multiple functions over time.

For Peruvian archaeologist Johny Isla, the new figures, smaller and closer to the trails, seem to have been made “by humans for humans”, with everyday scenes, unlike the giants, “to be seen by their gods“. Typical size: 3 to 7 m.

The proposed reading converges with spatial analyses of the study, which link the small geoglyphs to trails and the large ones to ceremonial routes and meeting areas, suggesting communal versus local uses.

New Hypotheses For The Nazca Lines

The Nazca Lines have always sparked debates about their origin and purpose. By expanding the corpus with hundreds of small examples, the AI allows testing hypotheses with a representative sample and contextualized in traffic networks.

The team indicates that the relief type geoglyphs appear on average 43 m from trails, while the line type relate to the trapezoidal system in flat areas, a pattern compatible with communal rituals and local signaling.

The publication in PNAS and the institutional disclosure from Yamagata provide scientific backing to the conclusions and pave the way for new campaigns with more robust geospatial models.

For the Brazilian and South American audience, the case shows how AI and drones can accelerate diagnoses in extensive sites, without replacing field archaeology and heritage management.

The new evidence points to human “plates” alongside trails, but many still see the lines as ritual scenarios for the gods. Do you agree with this shift in interpretation guided by AI or fear that technology imposes rushed readings? Leave your comment and explain what function you think the geoglyphs served.

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Michel Micheletto
Michel Micheletto(@michelettoflavio551gmail-com)
Member
07/10/2025 21:51

IA reconhece porque foi aplicado nela mesma criado antes~

Geovane Souza

Especialista em criação de conteúdo para internet, SEO e marketing digital, com atuação focada em crescimento orgânico, performance editorial e estratégias de distribuição. No CPG, cobre temas como empregos, economia, vagas home office, cursos e qualificação profissional, tecnologia, entre outros, sempre com linguagem clara e orientação prática para o leitor. Universitário de Sistemas de Informação no IFBA – Campus Vitória da Conquista. Se você tiver alguma dúvida, quiser corrigir uma informação ou sugerir pauta relacionada aos temas tratados no site, entre em contato pelo e-mail: gspublikar@gmail.com. Importante: não recebemos currículos.

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