ATRL Contributor
Member Since: 1/1/2014
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Machines Dream, Images shown
Quote:
When we let our minds wander, sleeping or waking, they begin mixing and remixing our experiences to create weird images, hallucinations, even epiphanies.
These might be the result of idle daydreaming on the side of a hill, when we see a whale in the clouds. Or they might be more significant, like the famous tale that the chemist Friedrich Kekulé discovered the circular shape of benzene after daydreaming about a snake eating its own tail.
There is little doubt we are a species consumed by our dreams—that our ability to find unexpected new patterns in the noise is what makes us human and what makes us creative.
Maybe that’s why a set of incredibly dream-like images recently released by Google are causing such a stir. These particular images were dreamed up by computers.
Google calls the process by which the images were created inceptionism, recalling the movie, and likewise, the images themselves range from beautiful to bizarre.
So, what exactly is going on here? We recently wrote about the torrid advances in image recognition using deep learning algorithms. By feeding these algorithms millions of labeled images ("cat", "cow," "chair," etc.), they learn to recognize and identify objects in unlabeled images. Earlier this year, machines at Google, Microsoft, and Baidu beat a human benchmark at image recognition.
In this case, Google reversed the process. They tasked their software with generating images based on the information already stored in its artificial neural network.
And here’s the fascinating bit: in a part of the experiment where the software was allowed to "free associate" and then forced into feedback loops to reinforce these associations—it found images and patterns (often mash-ups of things it had already seen) where none existed previously.
In some examples it interpreted leaves as birds or trees as buildings. In others, it created weird imaginary beasts in clouds—an “admiral-dog,” “pig-snail,” “camel-bird,” or “dog-fish.”
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photo gallery "Inceptionism: Going deeper into Neural Networks" by Michael Tyka
https://photos.google.com/share/AF1Q...N1d205bUdEMnhB
more about inceptionism
http://googleresearch.blogspot.co.uk...to-neural.html
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