Scientists used AI to analyze paint from Berlin Wall murals, revealing the specific chemical makeup of the pigments.
This innovative approach combined spectroscopic analysis with a neural network to enhance the precision of handheld devices.
The study uncovered the various pigments and their proportions, offering crucial insights for preserving these historical artworks.
Their findings, published in the Journal of the American Chemical Society, highlight the power of AI in art conservation.
