There was a time when art connoisseurs were regarded as the ultimate go-to source when one sought to confirm the authenticity of a piece of artwork. Their ability to see what the untrained eyes couldn’t was seen as mysterious and even elusive, something of a higher plane that only a few were privy to.&nbsp;But now, the advent of AI might change the game completely. Recently, AI analysis performed by Art Recognition determined that “Samson and Delilah” (c.1609-10), a painting attributed to Peter Paul Rubens that was sold for £2.5 million in 1980, <a href="https://www.theguardian.com/artanddesign/2021/sep/26/was-famed-samson-and-delilah-really-painted-by-rubens-no-says-ai" class="on">was confirmed with 91% of certainty to not be of the artist’s handiwork</a>.&nbsp;Image: Samson and Delilah/Peter Paul Rubens/The National Gallery

A new study at Case Western University shows that with the brush strokes recognizing machine learning, they can <a href="https://thedaily.case.edu/different-strokes-using-artificial-intelligence-to-tell-art-apart/" alt="predict who painted what with up to 96% accuracy level" class="on">predict who painted what with up to 96% accuracy level</a>. With robot connoisseurs, artworks authenticity can now be determined with higher objectivity rate.Image: F.Ji et al, Heritage Science 9:152 (2021)#AI #artificialintelligence #artwork #brushstroke #artist