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TechnologyMIT made an AI that can detect and create fake images

22:00  01 july  2019
22:00  01 july  2019 Source:   engadget.com

Samsung’s new AI can create talking avatars with a single photo

Samsung’s new AI can create talking avatars with a single photo Samsung's research center at Moscow has developed a new AI that can create talking avatars of photos and paintings without using any 3D modeling. A paper posted by the research team suggests that while traditionally researchers have used a large number of images to create a talking head model, a new technique can achieve it by few, or potentially even one image. In a video, engineer Egor Zakharov, explains that although it’s possible to create a model through a single image, training it through multiple images “leads to higher realism and better identity preservation.

Creating digital renderings and editing images can take hours, but researchers from MIT and IBM want to change that. While this could be beneficial for artists and designers, it also offers insight into how neural networks learn context, and the team hopes to leverage the tool to spot fake or altered images .

Researchers at Adobe recently created an artificially intelligent program that can recognize when Photoshop's Face Adobe concocts an A.I. that can detect — and reverse — manipulated photos. But the software could also go one step further and make a rough estimate of what the original image

MIT made an AI that can detect and create fake images

Creating digital renderings and editing images can take hours, but researchers from MIT and IBM want to change that. They've trained AI to generate photographic images from scratch and to intelligently edit objects inside them. While this could be beneficial for artists and designers, it also offers insight into how neural networks learn context, and the team hopes to leverage the tool to spot fake or altered images.

Named GANpaint Studio, the tool is available as a free demo. Rather than manually add a tree to an image, you can tell the tool where you want the object and it will add one that matches the scene. You can erase objects too, like stools from an image of a kitchen. It's still a work in progress, but the team hopes GANpaint Studio might one day edit video clips. If, for instance, an essential prop were left out of a film scene, editors could use AI to add it in later.

House Intelligence panel to examine 'deepfake' videos in June

House Intelligence panel to examine 'deepfake' videos in June The House Intelligence Committee has slated a hearing in June that will examine a series of national security matters, including the threat of videos manipulated by artificial intelligence (A.I.) that look strikingly real, a panel aide said. require(["medianetNativeAdOnArticle"], function (medianetNativeAdOnArticle) { medianetNativeAdOnArticle.getMedianetNativeAds(true); }); The congressional hearing on June 13 will be one of the first to primarily focus on so-called "deepfakes," which experts and lawmakers say pose a major disinformation threat heading into the 2020 election.

GROVER is a fake newsbot created by Fractal, a marketing agency that demonstrates its powers by writing fake bland PR Who’s afraid of AI that can write the news? AI now automates formula news in business and sports. Featured image : Fake News/Charles Taylor, Adobe Stock. Mind Matters News.

The SUNY team observed that the training method for creating AI that makes fake videos involves feeding it images – not video. So they decided to build an AI that uses computer vision to detect blinking in fake videos. The big deal: DeepFake is a deep learning method that makes it possible to

As they were building GANpaint Studios, the researchers were surprised to discover that the system learned simple rules about the relationships between objects -- like that a door does not belong in the sky. Because GANpaint Studio uses a GAN -- a set of neural networks developed to compete against each other -- it has to expose it's internal reasoning for decisions like preventing a cloud from appearing in the grass. That insight could help researchers better understand how neural networks learn context and what we think of as common sense.

While GANpaint Studio makes it easy to create fake images, it could also help computer scientists learn to spot them. "You need to know your opponent before you can defend against it," said Jun-Yan Zhu, who co-authored a paper on the tool. The researchers will present their work at a conference next month. In the meantime, you can give GANpaint Studios a spin.

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