How Artificial Intelligence is reshaping art and music:

How Artificial Intelligence is reshaping art and music:

Called deep neural networks, complex mathematical systems allow machines to learn specific behaviour by analysing vast amounts of data.

Context:

• What is called deep neural networks; Douglas Eck has come up with a complex mathematical systems allow machines to learn specific behaviour by analysing vast amounts of data.

Explanation:

• By looking for common patterns in millions of bicycle photos, for instance, a neural network can learn to recognise a bike.
• This is how Facebook identifies faces in online photos, how Android phones recognise commands spoken into phones, and how Microsoft Skype translates one language into another. But these complex systems can also create art.
• In the 1990s, neural networks were used for cross-breeding sounds from very different instruments. Say, a bassoon and a clavichord. Creating instruments capable of producing sounds no one has ever heard.
• Much as a neural network can learn to identify a cat by analysing hundreds of cat photos, it can learn the musical characteristics of a bassoon by analysing hundreds of notes.
• It creates a mathematical representation, or vector, that identifies a bassoon.
• Thus, Douglas Eck and his team have fed notes from hundreds of instruments into a neural network, building a vector for each one.