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Google's latest AI experiment is something else


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As reported earlier this month, 2017 is the year of Artificial Intelligence.

It's really interesting to watch what developments are being made in the field. In Google's latest AI experiment, they have developed software that autocompletes your doodles!

Google Brain - Google's internal artificial intelligence division - have been using computer vision techniques in which software parses the contents of hand-drawn images. It then re-creates those.

When you start drawing a shape in the Sketch-RNN demo web app, it will auto-complete it based on its predictions and past experience of other people's drawings.

In joining in with it, you are collaborating with a neural network that helps the AI learning mechanism to keep obtaining instructive data and improve.

If you draw a simple shape, it adds to it, transforming it into the object that has been selected.

There are a few variations of Sketch-RNN though, including one which shows multiple versions of what the image could look like. If you draw a shape, or a few shapes, it predicts what the final image will look like.

I selected the eye model and gave it a test drive.

I would actually have drawn the iris and pupil next, and it was interesting to see what it predicted as I added to my doodle.

Nick Statt, from The Verge, commented on the possible uses of the algorythm in real life:

"The end goal, it appears, is to teach Google software to contextualize real-world objects and then re-create them using its understanding of how the human brain draws connections between lines, shapes, and other image components.

"From there, Google could reasonably deploy even better versions of its existing image recognition tools, or perhaps train future AI algorithms to help robots tag and identify their surroundings."

There are also two other demos, in which Sketch-RNN triesto move between two similar types of drawing in real time and mimics your drawing with slight tweaks.

This AI experiment is truly fascinating, and it'll be interesting to see the direction it heads in. If you have some spare time, I recommend playing around with the demos, too! You can find them here

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