Art Conservators Considering Using AI for Authentication of Paintings, Drawings, and Sculptures #ArtTuesday
Researchers at Case Western University have been using 3D imaging to detect forgeries using Artificial Intelligence. Theri success rate is has been as hight as 96%, enough for art conservators to take notice. Here’s more from ArtNet News:
The study asked students from the Cleveland Institute of Arts to paint four identical yellow flowers in bloom. It then fed the results from the profilometer into what are known as convolutional neural networks, which help determine unique characteristics in brushstrokes, akin to fingerprints.
The results identified the ways that brain patterns and nervous system movement are mapped onto the three-dimensional surface of the canvas. “We were blown away when we saw the results,” Singer said. “Remarkably, short-length scales, even as small as a bristle diameter, were the key to reliably distinguishing among artists. These results show promise for real-world attribution, particularly in the case of workshop practice.” This means that art historians may now be able to tell which specific areas of a single canvas were made by artists, their assistants, or forgers.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.