A neural network became a expert at detecting art forgeries by learning how famous artists drew their line strokes. Researchers at Rutgers University and the Atelier for Restoration and Research of Paintings in the Netherlands used a sample set of 300 line drawings from well-known artists such as Picasso and Matisse. From those drawings, the AI examined 80,000 lines strokes and learned what characteristics in the strokes were unique to the different artists.
From Technology Review:
The researchers also trained a machine-learning algorithm to look for specific features, like the shape of the line in a stroke. This gave them two different techniques to detect forgeries, and the combined method proved powerful. Looking at the output of the machine-learning algorithm also provided some insight into the RNN, which acts as a “black box”—a system whose outputs are difficult for researchers to explain.
Since the machine-learning algorithm was trained on specific features, the difference between it and the RNN probably points to the characteristics the neural network was looking at to detect forgeries. In this case, it was using the changing strength along a stroke—that is, how hard an artist was pushing, based on the weight of the line—to identify the artist. With both algorithms working in tandem, the researchers were able to correctly identify artists around 80 percent of the time.
The researchers also commissioned artists to create drawings in the same style as the pieces in the data set to test the system’s ability to spot fakes. The system was able to identify the forgeries in every instance, simply by looking at a single stroke.
“A human cannot do that,” says Ahmed Elgammal, a professor at Rutgers and one of the paper’s authors.
Image: Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Levelfor Attribution and Authentication
There aren’t many details in Trump’s “American A.I. Initiative,” but the point appears to be: send a message of technological dominance to China.
Stanford folklorist and science historian Adrienne Mayor has a fascinating-sounding new book out, titled “Gods and Robots: Myths, Machines, and Ancient Dreams of Technology.” It’s a survey of how ancient Greeks, Romans, Indian, and Chinese myths imagined and grappled with visions of synthetic life, artificial intelligence, and autonomous robots. From Mayor’s interview at Princeton University […]
Editor’s Note: Richard Metzger is a connoisseur of cannabis, and recently started growing his own. He’s test-driving high-end rig good for small-scale grows from Cloudponics. This is not a sponsored post, Boing Boing is not getting anything from Cloudponics. Metzger’s just really *that* enthusiastic about weed, and so far he likes the Cloudponics setup. Here’s […]
Just a reminder: Print isn’t dead. And now that printers are becoming as portable as cell phones, it might be around for quite some time. Enter the MEMOBIRD Mobile Thermal Printer, a mini-printer that is versatile, portable – and most importantly, never needs a refill on ink or toner. Measuring just a few inches around, […]
What do Facebook, Twitter, YouTube and Google all have in common? Somewhere in their framework, they all use MySQL, that most versatile (and free!) of database management systems. And they’re not alone. If your company or the one you’d like to work for wrangles data (and who doesn’t?), they’re going to need someone with a […]
There’s a reason you’re hearing about the gig economy in every other business story these days. More than ever, people are finding income from more than one source. And if you find the right one, a side hustle can do more than just pad your pockets – it can allow you to finally get paid […]