A team of scientists used artificial intelligence to analyze the chemical composition of paint from Berlin Wall murals.
By combining handheld Raman spectroscopy with a neural network, they achieved greater accuracy in identifying pigments.
The research revealed the specific types and percentages of pigments used, providing valuable information for conservation efforts.
This innovative approach demonstrates the potential of AI in analyzing complex materials and preserving cultural heritage.
