AI helps ID paint chemistry of Berlin Wall murals

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Italian scientists designed a neural network to analyze spectral data from handheld Raman spectroscopy devices.

In many cases, like the Berlin Wall, the painters didn't bother to document the specific materials they used, their application techniques, or other useful information that conservators could use to restore or conserve street art. Modern painting materials are also much more complex, and manufacturers typically do not report specific information on the composition of those materials.

Many segments, both large and small, were preserved for posterity—including portions covered in graffiti or murals.

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Article Details

Author / Journalist: Jennifer Ouellette

Category: Technology

Markets: United StatesFrance

Topics: Chemistry Neural networks Graffiti Art conservation Berlin Wall Raman spectroscopy Street art Science

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-12-12 @ 16:59:25 (11 hours ago)

News Timezone: GMT -5:00

News Source URL: arstechnica.com

Language: English

Article Length: 197 words

Reading Time: 2 minutes read

Sentences: 38 lines

Sentence Length: 6 words per sentence (average)

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Copyright Owner: © Ars Technica

News ID: 24382958

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