It's a fact that Google's newest machine learning project has released its first song! (we don't know yet if it will be the new hit of the summer!).
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The first piece of generated art, a 90-minute piano melody, was created by a trained neural network, which was given only four notes. The drums and orchestration were not generated by the algorithm, but were added for emphasis afterwards.
It's the first tangible product from Google's Magenta program, which is designed to put the tech giant's machine learning systems on the path to creating art and music systems. The program was first announced at Moogfest last week.
Along with the tune, Google published a new blog post outlining the goals of the Magenta project, offering more details about Google's artistic ambitions.
“We’ll start with audio and video support, tools for artists to work with formats like MIDI, and platforms that help them connect to machine learning models,” the team wrote in a statement. “We want to make it incredibly easy for anyone to play music with a Magenta performance model.”
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