Researchers train AI to attribute paintings based on detailed brushstroke analysis
The Art Newspaper: Kenneth Singer, the Ambrose Swasey Professor of Physics at the College of Arts and Sciences, discussed a new university-developed computer technique that can identify with near certainty which artist made a particular painting based on tiny details of brush marks that can’t be controlled by the artist and aren’t visible to the naked eye.
