Sign up to save your podcasts
Or
Share AI for Art Examining: Claude Monet, Édouard Manet, and Natalia Goncharova
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
AI for Art Examining: Claude Monet, Édouard Manet, and Natalia Goncharova
This story was originally published on HackerNoon at: https://hackernoon.com/ai-for-art-examining-claude-monet-edouard-manet-and-natalia-goncharova.
Art-tech company ArtCollecting has dedicated its resources to analyzing around 100 works from Nina Moleva’s collection.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #artificial-intelligence, #art, #artist, #monet, #manet, #machine-learning, #good-company, and more.
This story was written by: @artcollecting. Learn more about this writer by checking @artcollecting's about page,
and for more stories, please visit hackernoon.com.
Art-tech company ArtCollecting has dedicated its resources to analyzing around 100 works from Nina Moleva’s collection. The study was conducted using a custom-developed algorithm. The algorithm analyzed not only visual features but also paint microstructure, signs of aging, and even hidden layers.
View all episodes
By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/ai-for-art-examining-claude-monet-edouard-manet-and-natalia-goncharova.
Art-tech company ArtCollecting has dedicated its resources to analyzing around 100 works from Nina Moleva’s collection.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #ai, #artificial-intelligence, #art, #artist, #monet, #manet, #machine-learning, #good-company, and more.
This story was written by: @artcollecting. Learn more about this writer by checking @artcollecting's about page,
and for more stories, please visit hackernoon.com.
Art-tech company ArtCollecting has dedicated its resources to analyzing around 100 works from Nina Moleva’s collection. The study was conducted using a custom-developed algorithm. The algorithm analyzed not only visual features but also paint microstructure, signs of aging, and even hidden layers.