Today [6/1/16] , Google’s newest machine learning project released its first piece of generated art, a 90-second piano melody created through a trained neural network, provided with just four notes up front. The drums and orchestration weren’t generated by the algorithm, but added for emphasis after the fact.

It’s the first tangible product of Google’s Magenta program, which is designed to put Google’s machine learning systems to work creating art and music systems. The program was first announced at Moogfest last week.

Along with the melody, Google published a new blog post delving into Magenta’s goals, offering the most detail yet on Google’s artistic ambitions. In the long term, Magenta wants to advance the state of machine-generated art and build a community of artists around it — but in the short term, that means building generative systems that plug in to the tools artists are already working with. “We’ll start with audio and video support, tools for working with formats like MIDI, and platforms that help artists connect to machine learning models,” the team wrote in an announcement. “We want to make it super simple to play music along with a Magenta performance model.”

Read the full article: Google’s art machine just wrote its first song on The Verge

Also see:

• https://ccrma.stanford.edu/~blackrse/algorithm.html
• https://www.jukedeck.com/