Algorithms and technology have so far helped listeners to more of the same music. Now, UiO researchers are working on new technology that can get people interested in a greater musical variety. Chords, beat, timbre, rhythm and harmony. All these elements of music contribute to make it sound the way it does. But have you thought about why you like particular kinds of music?

A machine learning system overseen by a researcher at KTH Royal Institute of Technology has produced 100,000 new folk tunes to date, generating a diverse range of reactions from folk musicians and the public. Some of the music can even be heard on a newly-released album by an Irish folk group. Bob Sturm, associate professor of computer science in the Department of Speech, Music and Hearing, says that the main idea of the project was to train computer models on folk music, so that they appear to have some musical intelligence, and then to "devise methods to unravel what they are actually doing," he says. Check out our master's programme courses The research subsequently led to creative opportunities. "Our work with many collaborators, such as composer Oded Ben-Tal at Kingston University in the UK, and professional musicians, has also shown how the models can serve a wider purpose: as useful partners in creating new music," Sturm says.

At turns lively and yearning, the traditional folk musics of Ireland and Britain have made their mark around the world. Now these perennially popular forms of music are helping computers learn to become a new kind of partner in music creation. A machine learning system overseen by a researcher in Sweden has produced 100,000 new folk tunes to date, generating a diverse range of reactions from folk musicians and the public. Some of the music can even be heard on a newly-released album by an Irish folk group. Bob Sturm, associate professor of computer science at KTH Royal Institute of Technology, says that the main idea of the project was to train computer models on folk music, so that they appear to have some musical intelligence, and then to "devise methods to unravel what they are actually doing," he says.

Lullabies have been helping people drift off to sleep since 2,000 BC - and now, more than 4,000 years latera an AI machine has made its own relaxing tune. Scientists have produced two tunes - one by Scottish composer Eddie McGuire and the other created by neural networks, in an attempt to see which one is better. The AI-created lullaby was trained using sheet music in a computer-readable format, from which it developed a sense of harmony and rhythm, and it claims to be able to help cure insomnia. The AI-created music was trained using sheet music in a computer-readable format from which it developed a sense of harmony and rhythm. It was created through deep learning, which is based on layers of artificial neural networks inspired by the brain.

Having four arms would be an advantage for any musician, but they are just one of the many unique features of Shimon, the marimba playing robot. The machine has used its artificial intelligence and deep learning algorithms to analyse more than two million motifs, riffs and licks of music to create its own masterpiece. Aside from giving the machine the first four bars to use as a starting point, no humans are involved in either the composition or the performance of the music. Shimon (pictured) has used its artificial intelligence and deep learning algorithms to analyse over two million motifs, riffs and licks of music to create and perform its own masterpiece. Shimon is the creation of Mason Bretan, a PhD student at Georgia Tech, that uses eight sticks to play the wooden percussion instrument. He has worked with Shimon for seven years, enabling it to'listen' to music played by humans and improvise over composed chord progressions.

Researchers have created a'Bot Dylan' computer that is capable of writing its own folk music. The system uses artificial intelligence to compose new tunes after it was trained using 23,000 pieces of Irish folk music. This allowed the machine to learn the patterns and structures that make for a catchy tune before it created its own pieces of music that we showcased at a concert in London this week. It marks a significant step forward for the capabilities of artificial intelligence. The new computerised composer can compose new tunes after being trained using 23,000 pieces of Irish folk music.