Amazon made a freaky algorithm that designs clothes based on popular styles

Amazon might get even better.
 By 
Molly Sequin
 on 
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Amazon is the place to find the latest gadgets, movies, and pretty much everything else. So why not throw the best fashion into the mix, too?

That's exactly what Amazon hopes to do with its new clothing design algorithm.

MIT Technology Review reports that it works by analyzing images of clothing that already exist to design similar pieces. Instead of human designers creating your favorite looks, Amazon's algorithm would become the creative genius.

The tool that accomplishes this task is called a generative adversarial network (GAN). It uses deep neural networks to remember properties of specific styles by looking at a bunch of examples. Once it has learned the style, it can transform an existing piece of clothing to fit in that style.

The system will be able to identify rising fashion trends and start creating its own unique pieces for Amazon customers to purchase. One way Amazon might be able to spot trends ahead of the game is by identifying new looks that start to appear in a social media posts.

This isn't Amazon's first glimpse into the fashion world. The company launched its own version of Trunk Club and Stitch Fix, called Prime Wardrobe, back in June. All the clothes and accessories you want to try on at home are sent to you for free, and you only actually pay for the ones you end up keeping. And the Echo Look app will even give you feedback on the outfits you try on.

The algorithm comes out of Amazon's San Francisco research center Lab126. You probably don't want the AI fashion assistant styling you just yet, but researchers are continuing to tweak the technology. So if you're an Amazon lover, keep your fingers crossed that the algorithm gets worked out sooner rather than later. And get ready to welcome your new designer.

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Molly Sequin

Molly is a recent graduate of the University of Wisconsin-Madison. While there, she studied life sciences communication and conservation biology. Molly has worked in multiple communications positions at UW and recently acted as a science intern at Business Insider in NYC. She is a lover of all things science and tech related, and is always ready to take on a new challenge. When Molly isn't writing, she fills her time training for IRONMAN events, acting as the unofficial #1 Wisconsin athletics fan, and trying as many new foods as her budget will allow.

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