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In a remarkable collaboration of global researchers with a shared passion for art, cutting-edge software powered by artificial intelligence (AI) has been developed to detect potential forgeries among masterpieces, including works attributed to the renowned artist Raphael. The AI system, designed to scrutinize the subtle nuances of brushwork and technique, has cast a discerning eye on Raphael’s iconic “Madonna of the Rose,” suggesting that a portion of the masterpiece may not be the handiwork of the esteemed Renaissance painter. Unmasking the craft of art forgery Art forgery, a craft that has bedeviled the art world for centuries, hinges on the ability to replicate the style of master artists with astonishing precision. However, even the most skilled forgers cannot escape the microscopic variations that betray the unique touch of an individual artist. This software has been developed to exploit these telltale signs, differentiating between the brushwork and paint application techniques employed by various artists. The technical marvel behind the detection The AI/ML software employs a multi-step approach to distinguish authentic artwork from potential forgeries. First, it analyzes a set of authentic art pieces created by a range of artists, utilizing a ResNet50 model to identify distinctive characteristics. Next, the software undergoes support vector machine (SVM) training to accurately attribute art pieces to Raphael, leveraging the ResNet50 features. Finally, the software meticulously examines fine brush stroke details using four distinct edge detection operators to discern the minutiae that define Raphael’s unique brushwork. Raphael’s Madonna of the Rose under scrutiny Putting this innovative software to the test, the team of researchers focused their attention on Raphael’s “Madonna of the Rose.” While the AI system correctly identified Raphael as the artist for the majority of the masterpiece, it raised a captivating question – could a portion of the artwork have been painted by someone…

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Filed under: News - @ December 30, 2023 9:18 pm