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Charred to a crisp, the hundreds of brittle ancient scrolls would crumble if one were to attempt to unfurl them, and any trace of script would be nearly illegible. The Herculaneum scrolls, as they are known, still remain unopened, but thanks to the powerful tool that is artificial intelligence, their contents now lie within reach.
Using AI and high-resolution X-rays, a trio of researchers decoded in 2023 more than 2,000 characters from the rolled scrolls — the remarkable feat laid barethe first full passagesfrom papyri that had survived the eruption of Mount Vesuvius in AD 79.
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Computer scientists who launched the Vesuvius Challenge, a competition designed to accelerate the deciphering process, hope that 90% of four scrolls will be unlocked by the end of 2024. The key challenge has been to virtually flatten the documents and distinguish the black ink from the carbonized papyri to make the Greek and Latin script readable.
“The AI is helping us amplify the readability of the evidence of the ink,” said Brent Seales, a professor of computer science at the University of Kentucky who has been working to decode the scrolls for more than a decade. “The evidence for the ink is there. It’s buried and camouflaged in all of this complexity that the AI distills and condenses.”
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“AI is a field of computer science designed to try to solve problems in ways that we thought only humans could solve problems,” Seales said. “I think of the kind of AI we’re using as a sort of superpower making you able to see things in data that with human eyes you wouldn’t be able to see.”
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In all, the program detected 18 types of rhythm (the sequence of intervals between clicks), five types of tempo (the duration of the entire coda), three types of rubato (variations in duration), and two types of ornamentation — an “extra click” added at the end of a coda in a group of shorter codas.
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Often only visible from above, the sprawling pictograms depict geometric designs, humanlike figures and even an orca wielding a knife.
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Between September 2022 and February 2023, the team tested the accuracy of its model in the Nazca Desert, surveying the promising locations by foot and with the use of drones The researchers ultimately “ground truthed” 303 figurative geoglyphs,almost doubling the known number of geoglyphsin a matter of months.
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Jambajantsan wasn’t involved in the Nazca research but uses an AI model to identify burial mounds in Mongolia based on satellite imagery.
“The problem is archaeologists don’t know how to build a machine learning model and data scientists, typically, are not really interested in archaeology because they can get much more money elsewhere,” Jambajantsan added.
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For decades, decoding these 3D structures has been a challenging and time-consuming endeavor involving the use of fussy lab experiments and a technique known as X-ray crystallography.
However, in 2018 a game-changing AI-based tool arrived on the scene. The latest iteration of the AlphaFold Protein Structure Database, developed by Demis Hassabis and John Jumper at Google DeepMind in London, predicts the structure of almost all 200 million known proteins from amino acid sequences.
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“It’s really a stand-alone breakthrough solving a traditional holy grail in physical chemistry,” Anna Wedell, a professor of medical genetics at Karolinska Institutet in Sweden and a member of the Royal Swedish Academy of Sciences, told 【 - Free Top-Rated Stock Analysis 】 after Hassabis and Jumper were among the three winners of the 2024Nobel Prize for chemistry.
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