From the artist Memo Atken’s web page, a description of his series Learning to See informs us that it’s:
an ongoing series of works that use state-of-the-art Machine Learning algorithms as a means of reflecting on ourselves and how we make sense of the world. … Artificial neural networks loosely inspired by our own visual cortex look through surveillance cameras and try to make sense of what they are seeing. Of course they can see only what they already know. Just like us.
“What they know” are “tens of thousands of images scraped from the Google Art Project, containing scans from art collections and museums from all over the world.” That is how mundane objects such as cloths, keys, plugs and hands become transformed into seascapes, flowers and flames.
(h/t to AGD for the Aeon link)
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