AI Reveals Raphael May Not Have Painted All of This Iconic Artwork
Artificial intelligence may have solved a long-standing question about Raphael’s famous painting that has puzzled the art world for years.
Part of Raphael’s Madonna of the Rosary painting may not be by the Italian Renaissance master Discover Published in the Journal of Scientific Heritage in December 2023, it is currently resurfacing and circulating online.
Raphael Sanzio da Urbino is widely regarded as one of the most famous artists of the Renaissance for his paintings and frescoes, including those for the Vatican’s “School of Athens.”
But the Madonna of the Rosary on display at Madrid’s National Museum in the Prado has long fueled speculation about its attribution, with the image of St. John inconsistent with Raphael’s style and appearing unrefined compared with other elements. painting. The painting depicts the Madonna and Baby Jesus as well as Saints Joseph and Saint John.
Computer scientists from the Universities of Nottingham, Bradford and Stanford developed a specific artificial intelligence algorithm that can compare certain parts of the painting with other works by Raphael.
team Used pictures “The computer was trained to identify Raphael’s style in great detail, from the brushstrokes, the color palette, the shading, every aspect of the work,” said Hassan Ugail, a computer scientist at the University of Bradford.
“When we tested the della Rosa as a whole, the results were not conclusive,” Uguerre said in a statement. “So, we then tested the individual parts, although the rest of the picture was confirmed to be Raphael , but Joseph’s face is probably not that of Raphael.”
In a press release, computer scientists said it is believed that Raphael’s student Giulio Romano likely drew the face of Saint John. Although the findings are not 100% confirmed, Ugail noted that the computer model examined the artwork at a microscopic level with an accuracy of 98%.
Christopher Brooke, an honorary researcher at the University of Nottingham who also worked on the project, said in a press release that the analysis “is expected to be a useful additional tool for future studies of this type, alongside established methods such as spectroscopy.”
