Computer scientists as rogue art historians
· 43 min · Episode 218
Episode Computer scientists as rogue art historians
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?”
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Featuring:
• Amanda Wasielewski – Website, X • Chris Benson – Website, GitHub, LinkedIn, X • Daniel Whitenack – Website, GitHub, X
Show Notes:
• Computational Formalism Art History and Machine Learning
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 15
- https://fastly.com/?utm_source=changelog
- https://www.fastly.com/?utm_source=changelog&utm_medium=podcast&utm_campaign=changelog-sponsorship
- https://fly.io/changelog
- https://fly.io/docs/speedrun/
- https://cloud.typesense.org/?utm_source=changelog
- https://x.com/awasielewski
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://mitpress.mit.edu/9780262545648/computational-formalism/
- https://practicalai.fm/webinars
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