![]() With Magenta, we want to explore the other side-developing algorithms that can learn how to generate art and music, potentially creating compelling and artistic content on their own.” Machine learning has already been used extensively to understand content, as in speech recognition or translation. ![]() “First, it’s a research project to advance the state of the art in machine intelligence for music and art generation. (It isn’t clear whether Google is also using the related Tensor Processing Unit chip, however, which it custom-designed.) Google research scientist Douglas Eck said Google is using its TensorFlow machine learning platform to drive the creation of machine-generated art. Teaching machines to think, then to create In some ways, Magenta is the next iteration. Google’s highest-profile example of creative machine learning may be DeepDream, the sometimes nightmarish remixing of photographs into pieces of art. Why this matters: We’re on the cusp of something special in terms of machine assistance: Bots and digital assistants are learning how to help their users, and Google is investing heavily in it.
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