Photo of a cup of paintbrushes against a brightly painted background

Arts and Sciences’ Kenneth Singer discusses computerized art analysis technique

Researchers train AI to attribute paintings based on detailed brushstroke analysis

photo of ken singer

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.