Magenta, Google’s new research project, will launch June 1 to explore the use of ARTIFICIAL intelligence to create art and simplify the process for users of its open source AI platform TensorFlow, Popular Science reports.

The team currently has six researchers and will invite other academics to help solve the creative machine puzzle in the future. The project comes from Google Brain, the Google Brain division.

Magenta project researcher Douglas Eck says the team will first work on algorithms that generate music, and then develop algorithms for video and other visual arts.

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This will never be an easy task, as even the most advanced AI systems have trouble copying the work of existing artists and musicians, let alone coming up with new ideas on their own. Speaking at a symposium at Moogfest, a music and technology festival, Ek acknowledged that ai systems still have a long way to go.

Magenta will start with a simple application that helps researchers input music data from MIDI music files into TensorFlow to bring music knowledge training to their systems.

“There were a few things that made me want to start Magenta, and one of them was seeing the amazing overall progress in the art of creative deep learning. I wanted to do a little heuristic work on that.” “Said Acme.

Ek said he was inspired for the project by Google DeepDream technology. Google DeepDream is a way for researchers to study how their ARTIFICIAL intelligence algorithms sense objects, generating relevant objects on demand.

According to Ek, the Magenta project will open source its entire deep learning model on Google’s open source AI platform TensorFlow. He said they hoped that through the open source project, others would be able to take Google’s work and extend it further. The project’s GitHub page is currently blank (just a description file), but it will soon receive its first code.

Starting June 1, Magenta will release more information about the resources it will build, add new software to its GitHub page and regularly update its blog about the project, according to Adam Roberts, a member of Ek’s team. Roberts also showed off a simple digital synthesizer program he was working on, in which artificial intelligence, after hearing the notes he played, could use those notes to produce more complete melodies.

Ek says the goal of the project is to create a system that regularly brings exciting new music to listeners, so they can enjoy computer-generated music while lying on their sofa. But he acknowledges that, at least for the foreseeable future, that kind of art creation is likely to require some human involvement because of the difficulty of developing robots that can create entirely on their own.

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Ek also mentioned the potential Magenta app, which showcases music and visual art created by the Magenta project. It aims to measure whether people like art because it is new and special, or because it has intrinsic artistic value.

While Google’s AI system is unlikely to replace pop singers anytime soon, Ek predicts that computer-generated music will soon appear in certain scenes. For example, while a heart-rate monitoring wearable sends a signal to your smartphone that you’re stressed, an AI system designed to create comfort music for you will produce music that relieves stress and relaxes you.