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Computer scientists as rogue art historians

Computer scientists and art historians explore overlapping methods, as researcher Amanda Wasielewski examines how computer vision work mirrors art history and how machine learning aids fraud detection and cataloguing.

Apr 12 · · primary fetch1 sourceupdated Apr 12 ·

What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?” Sponsors: Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences.

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