In the fourth issue of this monthly digest series you can find out how Qualcomm is bringing deep learning and AI to smart devices, why Daimler sent self-driving trucks all across Europe, how to imitate Rembrandt's best work with the help of deep learning, and much more.
The Next Rembrandt
From the Smithsonian comes news—and a must-see fascinating video—about a painting created using data from more than 168,000 fragments of Rembrandt's work, trained to paint in Rembrandt's signature style. Over the course of 18 months, a group of engineers, Rembrandt experts and data scientists analyzed 346 of Rembrandt's works, then trained a deep learning engine to "paint" in the master's signature style.
In order to stay true to Rembrandt’s art, the team decided to flex the engine's muscles on a portrait. They analyzed the demographics of the people Rembrandt painted over his lifetime and determined that it should paint a Caucasian male between 30 and 40 years of age, complete with black clothes, a white collar and hat, and facial hair.
Using what it knew about Rembrandt's style and his use of everything from geometry to paints, the machine then generated a 2D work of art that could be by the Dutch painter himself. But things didn’t end there—the team then used 3D scans of the heights of Rembrandt’s paintings to mimic his brushstrokes. Using a 3D printer and the heigh map, they printed 13 layers of pigments. The final result—all 148 million pixels of it—looks so much like a painting by Rembrandt during his lifetime that you'd be forgiven if you walked right by it in a collection of his work.