Now, thanks to machine learning and the development of artificial neural networks, computers can compose their own songs with hardly any human guidance at all. Of course, synthetic music’s come a long way over the past seventy years. Want to hear the Ferranti’s groundbreaking music for yourself? Just check out the link below for a digitally restored recording of that historic moment, and what the people listening had to say: This early melding of art and science would pave the way for similar fusions of musical and scientific genius over the years. It’s a sample of three songs created by Alan Turing’s Ferranti Mark 1 computer, which filled up a whole room the melodies were programmed by Christopher Strachey, a computer scientist who also drew upon his experience as a piano player to teach the computer how to play music. There’s some debate on just when the first electronic music was created, but the oldest recording comes from 1951. This sort of musical collaboration between humans and computers has been evolving for a surprisingly long time. Just recently Google released Blob Opera, a machine learning tool by David Li that “pays tribute to and explores the original musical instrument: the voice.” There’s a link below for you to try it out for yourself: all you have to do is direct each of the singing blobs by sliding its range up and down with your mouse, and listen as they compose their own harmonies. One of the most innovative uses for machine learning, however, is in creating music. Machine learning has helped shape just about every aspect of our digital lives, whether it’s deciding which Netflix show or YouTube video to recommend to us or even teaching cars to drive themselves.
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