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Pieter de Hooch - The Courtyard of a House in Delft
The research examines how our custom developed AI, utilising the largest recent advancement in computer vision and cognition, operates when trained on datasets consisting of thousands of 3D scans of classical sculptures from renowned international museum collections (i.e., British Museum, Metropolitan, National Roman Museum etc.).
How can GLAM support a virtuous circle towards more accessible & responsible AI?
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The tech has been trained using the existing ImageNet database and is designed to be a 'peek into the politics of classifying humans in machine learning systems and the data they are trained on. Free Roulette Games - Getting to Grips with the Rules. As online casino games go, free roulette is one of the easiest to learn, and amongst the most fun for both new and experienced players to play.
Join me @ Mozilla Festival 2019
Better Machine Decision Making
lab.SNG - Web umenia online collection platform
Mitchell Whitelaw - Towards Generous Interfaces for Archival Collections
Thomas Padilla et al. - The Santa Barbara Statement on Collections as Data
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Pieter de Hooch - The Courtyard of a House in Delft
Bengler, Audun Mathias Øygard & Norwegian National Museum - Principle Components
Egor Kraft - Content Aware Studies
Stanford - ImageNet
Princeton - WorldNet
Leif Ryge for Trevor Paglen Studio - ImageNet Roulette
Cristóbal Valenzuela - Machine Learning En Plein Air: Building accessible tools for artists
Gene Kogan et al. - Machine Learning for Artists
Dave Gershgorn - A Privacy Dustup at Microsoft Exposes Major Problems for A.I.
MegaPixels - Brainwash Dataset
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ML x GLAM
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By Philo van Kemenade
Talk about the multiplication of Machine Learning and the Galleries, Libraries, Archives & Museums sector, at the Museums + AI Network conference at Goldsmiths College London
Philo van Kemenade
Creating tools, stories and things in between to amplify human connection with arts and culture.