![]() This is a core insight of the Magenta team. “I don’t want to say ‘so human,’ but they feel so right in a way that these pixel-generation things don’t.” The outputs of SketchRNN, however, don’t feel uncanny at all. They are interesting because they make images that are sort of like, but not exactly like, human perception of the real world. These projects all feel, subjectively, to humans, uncanny. This is distinct from the kind of photograph-based work that’s inspired so many news stories, like when a machine can render a photograph in the style of Van Gogh or the original DeepDream, or drawing any shape and having it fill in with “ catness.” Each class of drawing-cat, yoga, rain-can be used to train a particular kind of neural network using Google’s open-source TensorFlow software library. It is these simple strokes that are the underlying dataset for SketchRNN. When we sketch, we compress the rich, colorful, noisy world into just a few movements of a (digital) pen. Google built a game called, “ Quick, Draw!” which, as people played, generated a large database of human drawings of all kinds of stuff: pigs and rain, firetrucks and yoga poses, gardens and owls. Learn how to draw pigs and maybe you learn something about the human ability to synthesize pigness. That is to say, there is a connection between how our brains store “pigness” and how we draw pigs. They sketch the generalized concept of “pig,” not any particular animal. The implicit argument is that when humans draw, they make abstractions of the world. They want to create a machine that can recognize and output “pigness,” even if it is fed prompts, like a truck, which don’t belong in the barnyard. The point of SketchRNN, as he and Google collaborator David Ha have written, is not only to learn how to draw pictures, but to “generalize abstract concepts in a manner similar to humans.” They don’t want to create a machine that can sketch pigs. in computer science from the University of Indiana in 2000, and has spent the intervening years working on music and machine learning, first as a professor at the University of Montreal (a hotbed for artificial intelligence) and then at Google, where he worked at Google Music before heading to Google Brain to work on Magenta.Įck’s drive to create AI tools for making art began as a rant, “but after a few cycles of thinking,” he said, “it became, ‘Of course we need to do this, this is really important.’” Eck is clever, casual, and self-effacing. Last week, I visited Eck at Google Brain team’s offices in Mountain View, where Magenta is housed. It’s called Project Magenta, and it’s led by Doug Eck. This pig truck is actually the output of a fascinating artificial intelligence system called SketchRNN, a part of a new effort at Google to see if AI can make art. ![]() Until recently, only human beings could have pulled off this sort of conceptual twist, but no more. If you’d drawn it, I, a fellow human, would subjectively rate this a creative interpretation of the prompt “pig truck.” The wheels have turned hoof-like, or alternatively, the pig legs have turned wheel-like. You can change the way the line looks by click on format and change the shape fill and outline.Note the little squiggly pig tail, the slight rounding of the window in the cab, which recalls an eye. Click and drag the arrow from the word box to the part on the skeleton you are labeling. Change the "pencil" outline color as well! All boxes should have the same fill and outline color.ĩ) "Insert" a shape and add an arrow or a line. It should be close to the area on the skeleton you are labeling.Ĩ) Change the way the text box looks by click on the box and selecting "format" and changing the fill color. Click on the box and drag it to where you want it. It helps to keep the look organized and clean. Make sure all your labels are done in the same font, size, and color. Resize it!ħ) "Insert" a text box (simple text box). Type in your title "Human Skeleton, by _". ![]() I've selected 3 photos and you can choose the skeleton of your choice!Ĥ) Resize your picture so it is large and takes up most of your page.ĥ). Here are the steps we will take to create our diagram:ġ) Open your Google Drive, let's create a Google Drawing!Ģ) Name it "Bones" and add your name to the endģ) Let's go to "Insert" and insert an 'image" -and upload it from the "shared folder".
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