Google’s innovative DeepDream software is turning AI neural networks inside out to comprehend how computers think.
What if computers had the ability to dream? They can, in reality. Google’s innovative DeepDream software is turning Artificial Intelligence neural networks inside out to comprehend how computers think.
When a bunch of artificial brains at Google began producing surreal images from otherwise standard photos, engineers contrasted what they saw to dreamscapes. Their image-generation method was termed Inceptionism and the code that powered it was called DeepDream.
Wikipedia says “DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like hallucinogenic appearance in the deliberately over-processed images.”
Color scrolls, spinning shapes, stretched faces, swirling eyeballs, and awkward patterns of shadow and light feature in the computer-generated images. The computers seemed to be hallucinating – in an astonishingly human manner. The aim of the project was to see how well a neural network could identify different animals and environments by having the machine explain what is observed.
So, what really is going on in the dreaming neural networks and what does this mean for the future of Artificial intelligence?
The result reveals a lot about where artificial intelligence is headed, as well as why it could be more imaginative, ambiguous, and unpredictable than we’d like.
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