Could a computer write the next West Side Story or Hamilton? That’s what composers Benjamin Till and Nathan Taylor tried to figure out—the result is a musical called “Beyond the Fence."
Could a computer write the next West Side Story or Hamilton? That’s what composers Benjamin Till and Nathan Taylor tried to figure out—the result is a musical called “Beyond the Fence."
When a computer program fixes a writer’s novel, or improvises a few bars of music, is that real creativity? Are they not just doing what they were programmed to do? Blaise Agüera y Arcas would wholeheartedly disagree.
As an acquisitions editor for Penguin Books, Jodie Archer saw many novelists struggling to write books that would sell. Then she went to grad school at Stanford, where she and her advisor created an algorithm to help.
Doug Eck directs Google’s new “Magenta” project, an experiment in teaching machines to make art, leveraging advances in machine learning like neural networks to enable computers to do things like compose music.
Computer scientists are closing in on the next frontier in artificial intelligence — machines that can create. Make art. Write stories. Compose music. The dream is to open the door to a whole new kind of creativity.
We don't always consider the small changes in our influences, thinking and communication that occur directly as a result of those wasted seconds bouncing between emails, Facebook posts and Reddit threads, but conceptual artist and professor Kenneth Goldsmith argues there's opportunity in those precious clicks and darts from page to page.
Even as you read this very sentence, you may be an unwitting victim of the attention merchants — those sneaky and subversive salespeople who attract your attention and then resell it for a profit.
Cathy O'Neil, data scientist and author of the blog mathbabe.org, warns that politicians are perilously close to being able to tell voters only what they want to hear.