As artificial intelligence (AI) is applied to the creative arts, the first samples of computer-created music are emerging. In mid-2016, Google announced its AI Project Magenta to create music and art. Then, last May at Techstars Music 2017 in Los Angeles, cutting-edge music startup Amper presented samples of its AI-created compositions. This begs the question: Will computers eventually create quality music compositions? Whenever pioneering technologies emerge, my advice to students in digital innovation courses is not to wonder whether or not the technology will disrupt an industry, but the extent to which it will.

Google Brain researcher Douglas Eck will discuss Magenta, a project using TensorFlow to generate art and music with deep nets and reinforcement learning. He'll also talk about how artists and musicians fit in to the effort. We'll dive into some of the technical details and challenges faced in building generative models, but no machine learning expertise is required to follow the session. See all the talks from Google I/O '17 here: https://goo.gl/D0D4VE Subscribe to the Google Developers channel: http://goo.gl/mQyv5L

Google is using machine learning to teach computers to sketch and make music, but one engineer says it isn't ready to "generate" a new Beatles album just yet. IN the future, cars will drive themselves, fridges will order groceries, and doors will unlock automatically as you approach. But what happens when computers move beyond chores and take on creative endeavours? What happens when computers start making art? It's a question Google is investigating, not only investing money in making computers code the most efficient programs themselves, but asking them to learn how to draw, and make their own music based on our own.

Going by the website, Project Magenta is Google's attempt to explore whether artificial intelligence (AI) and machine learning can be used "to create compelling art and music". While AI has long been used for things like speech and image recognition, Project Magenta is Google's attempt to use AI to create instead. According to Magenta scientist Douglas Eck's blog post, "[Google's]developing algorithms that can learn how to generate art and music, potentially creating compelling and artistic content on their own."

Google has launched Magenta, a project from the Google Brain team that asks: "Can we use machine learning to create compelling art and music?" "First, it's a research project to advance the state of the art in machine intelligence for music and art generation. Machine learning has already been used extensively to understand content, as in speech recognition or translation. 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." "Second, Magenta is an attempt to build a community of artists, coders and machine learning researchers. The core Magenta team will build open-source infrastructure around TensorFlow for making art and music. 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. For example, we want to make it super simple to play music along with a Magenta performance model."

If you click here, you'll hear an audio track that sounds like a child playing the piano. It is, however, a machine playing the piano. Who does the machine belong to? Google of course, Google Brain to be precise. This is the first public result of Project Magenta, a research effort by Google to advance machine learning in music and art.

The Web giant on Wednesday unveiled a 90-second piano melody (mp3), the first piece of art created by machine learning as part of Project Magenta. The project, announced last week at Moogfest, is an artificial intelligence effort to create original music and visual art. Along with creating music and art, another goal of the project is to build a community of artists, coders and machine learning researchers, Douglas Eck, a research scientist working on Project Magenta, wrote in a blog post Wednesday explaining more about the team's ambitions. Eck wrote that the team wants to open-source the infrastructure, beginning with audio and video support. One of the greatest challenges of the project is not only creating art but also telling a compelling story, Eck wrote.

The Web giant on Wednesday unveiled a 90-second piano melody (mp3), the first piece of art created by machine learning as part of Project Magenta. The project, announced last week at Moogfest, is an artificial intelligence effort to create original music and visual art. Along with creating music and art, another goal of the project is to build a community of artists, coders and machine learning researchers, Douglas Eck, a research scientist working on Project Magenta, wrote in a blog post Wednesday explaining more about the team's ambitions. Eck wrote that the team wants to open-source the infrastructure, beginning with audio and video support. One of the greatest challenges of the project is not only creating art but also telling a compelling story, Eck wrote.

Can music be machine made? Google's Project Magenta is here to answer in the affirmative and how? In the latest edition of Moogfest in North Carolina, Google previewed its Project Magenta, an Artificial Intelligence (AI) product with tech robots to show the way to sing. As what Deep Dream does on images by imparting surreal twists, Project Magenta has music to experiment on. At the fest, a Google Brain (the machine learning wing) researcher demonstrated music generated on a digital synth.

Can computers be truly creative? More specifically, can people bestow upon machines what we know as creativity and have the machines thinking creatively? Google knows that an answer does not come easily and some people may argue that the answer is hairy. Do all people agree on what makes creativity creativity? Depending on what kind of definition you go by, if you build software that can take a note sequence and turn it into a melody by finding patterns where do you place it on the scale of creativity?