The growing interest in artificial intelligence is a result of the recent technological advancements in machine learning. Many exciting solutions are on the horizon including self driving cars, automated medical diagnosis, and creating new works of art.
Machine learning works by feeding data into a machine, and then using the machine to generate new data. By building a learning machine with artificial neural networks (ANN), the machine is able to learn from large and complex datasets. ANN are modeled after the biological neural networks of the brain.
Until recently, machine learning algorithms were only capable of generating small datasets. The invention of Generative Adversarial Networks (GAN) and Recurrent Neural Networks (RNN) allow machines to generate large datasets. This enables the development of technologies to aid in the creative process, such as creating tools to automate the process of music production.
We limit the scope of the machine to generate a song in the form of music notation. In essence, the machine will provide tools to aid in the process of songwriting.
We have been in the industry since 2016.