Could Google Be the World's Next Great Choreographer?
When coming up with phrases of movement, choreographers all have their habits: certain patterns they return to again and again, tendencies that repeat themselves whether they mean for them to or not.
What if artificial intelligence could be used to help choreographers mix things up by suggesting thousands of other options—and ones that still fit their choreographic style, no less?
Wayne McGregor is experimenting with just that through a project with Google Arts & Culture Lab.
McGregor's long been known for experimenting with technology in his work. (He has an honorary doctor of science from Plymouth University.) But this is the first time he's experimented with using technology to create his work.
His work at the Google lab began with uploading his archive—thousands of hours of video spanning 25 years of his repertory—to train an algorithm to detect patterns. The AI uses that data to predict McGregor-like sequences that might follow a particular pose or phrase, generating up to 400,000 (!) iterations. Or, as McGregor puts in a promo video for the project, "This...gives you all of these new possibilities you couldn't have imagined."
Basically it's kinda like the predictive text on your phone, except for dance. And with a lot more options.
A screenshot of choreography options offered by Google's AI machine, based on a dancer's movement.
The tool works in real time as a camera watches dancers move in space. And it's not simply suggesting something from the archive—it can offer ideas that are totally original. It can be set to reflect a particular dancer's style, or even combine the styles of two different dancers to come up with a hybrid.
"I'm fascinated in how AI might actually develop the conversation around what is choreography, who has to make choreography, what are the potentials of choreography," McGregor says in the video, adding later that he'd love to see the tool used live onstage one day.
Of course, we're not exactly headed down the road to hiring robot choreographers just yet. The point is not to replace a choreographer—just to remind them of their creative options.
But in our age of technology, much of the pleasure of dance stems from the refreshing fact that it's such a viscerally human form of communication. So what would it mean if the movement came not from an artist, but a machine? You can't help but wonder how its message might shift, or how its impact might evolve.
Or, for that matter, whether Google would get credit in the program.
- Google's AI learns to dance with choreographer Wayne McGregor ... ›
- Can a Computer Learn to Dance? – How We Get To Next ›
As Dance Magazine editors, we admittedly spend more time than we'd like sifting through stock photography. Some of it is good, more of it is bad and most of it is just plain awkward.
But when paired with the right caption, those shots magically transform from head-scratchers to meme-worthy images that illustrate our singular experience as dancers. You can thank the internet for this special salute to dancer moods.
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If you're in need of a midweek boost, look no further than these eight presentations from some incredibly inspiring dance artists.
The Primetime Emmy Award nominations are out! Congrats to the seven choreographers who earned nods for their exceptional TV work this year. Notably, that work was made for just two shows, "So You Think You Can Dance" and "World of Dance."
And there was a particularly remarkable snub: While the dance-filled hit "Fosse/Verdon" earned 17 nominations across many of the major categories, Andy Blankenbuehler's fabulous Fosse remixes weren't recognized in the Outstanding Choreography field.
Here are all the dance routines up for Emmys:
"Dancers can do everything these days," I announced to whoever was in earshot at the Jacob's Pillow Archives during a recent summer. I had just been dazzled by footage of a ballet dancer performing hip hop, remarkably well. But my very next thought was, What if that isn't always a good thing? What if what one can't do is the very thing that lends character?