Most popular music today uses a computer as the central instrument. A single musician is often selecting the instruments, programming the drum loops, composing the melodies, and mixing the track to get the right overall atmosphere.
With so much work to do on each song, popular musicians need to simplify–the result is that pop music today consists of simple melodies without much chord progression.
Magenta is a project out of Google Brain to design algorithms that learn how to generate art and music. One goal of Magenta is to advance the state of the art in machine intelligence for music and art generation. Another goal is to build a community of artists, coders, and machine learning researchers who can collaborate.
Engineers today are happy to outsource server management to a cloud service provider. Similarly, a musician can use Magenta for creation of a melody, so she can focus on other aspects of a song, such as instrumentation.
Doug Eck is a research scientist at Google. In today’s episode, we explore the Magenta project and the future of music.
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Deep learning promises to dramatically improve how our world works. To make deep learning easier and faster, we need new kinds of hardware and software–which is why Intel acquired Nervana Systems, a platform for deep learning. Intel Nervana is hiring engineers to help develop a full stack for AI, from chip design to software frameworks. Go to softwareengineeringdaily.com/intel
to apply for a job at Intel Nervana. If you know don’t know much about the company, check out the interviews I have conducted with engineers from the company. You can find these at softwareengineeringdaily.com/intel
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