An AI that can make you smile or cry

An AI developed by my friend’s company, Jukedeck, was asked to write something “emotive” and “cinematic.” This is what it came up with.
Original image (top). A Deep Dream AI trained to recognize buildings and landscapes output (bottom).
This dreamscape is what this same Deep Dream AI saw in an image of random white noise (white noise in upper left).
In the photos above, a primary image (far left) and a style image (center) are given to an AI. The AI’s job is to modify the primary image so that it fits the characteristics of the style image. The output is displayed on the far right. This type of process isn’t solely relegated to images.
This video visually illustrates a genetic algorithm optimization technique. This simulation utilizes a basic physics engine and a simple simulated 2D topology to evolve vehicle designs. It first assembles components (shapes like circles and squares) at random and tests the randomly spawned vehicle designs. It then utilizes the performance (distance traveled) of these simulated vehicles as the basis for selecting vehicle designs to be passed on to the next generation (plus a degree of random mutation). Through this process, the algorithm automatically evolves vehicles and optimizes their performance.

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