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There’s hardly anything that we haven’t tried putting machine learning to work at, and usually they take to it like a duck to water. That’s not the case here, with a neural network attempting to learn how to give paint colors those fancy names like “spring rain” and “harbor mist.” How would you like to paint your house in a nice “dorkwood” or “stanky bean”? This unsuccessful attempt to replace the creatives in the paint-naming space was carried out by Janelle Shane , a researcher and flautist who occasionally “plays with neural networks.”. The network was given a list of 7,700 paint names and their corresponding RGB values, and set to work trying to suss out the hidden connections that gov... Full story

7 days ago, 19 May