- Automation is shaking up the job market
- German researchers develop style transfer art algorithm
- Fine artists’ jobs are relatively safe — for the time being
In August, we ran a story about employment in the age of automation. We mentioned which jobs are most at risk of being automated, and pointed to an online tool that will help you determine the relative security of your occupation.
Jobs in the creative fields are in the low-risk category — but artists beware! Algorithms are learning to create from masters like Van Gogh, Monet, and Kandinsky.
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge from the University of Tübingen in Germany have created an algorithm that creates new works of art by transferring the style of one image to another.
The system uses a Deep Neural Network with the ability to separate the style of an image from its content. TThe researchers believe that, as humans, our appreciation of the new art form derives from the ability to differentiate between these two elements.
Gatys’s group used their algorithm to create a web app called Deep Art. To make art with the app, simply upload an image, choose a style, and wait. The app sends you an email when the image is ready for viewing.
Using the app, Australian artist and writer Chris Rodley create a viral social media image of a book of dinosaurs crossed with a book of flowers.
Rodley is also known for his use of the Deep Art app to merge various photos of Donald Trump with pictures of Jim Henson’s Muppets.
Another Google product, AutoDraw, is a web-based tool that pairs machine learning with drawings created by actual artists. It makes drawing quick and easy for novices. Google researchers have also developed machine learning that can write poetry that some have called ‘hauntingly beautiful.’ (Pro tip: it is better when read backwards.)
The Will Robots Take My Job? tool says that fine artists have only a 4.2 percent chance of being replaced by machines.
With apps like Deep Art, will the outlook be that positive in ten years?