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So in different spots, Fake Obama looks oddly sharp or blurry or lit from odd angles. Plus the outline of his jaw tends to flicker. Deepfake videos, video games, and movie special effects use similar technologies, so a deepfake will often resemble a game or movie.

BuzzFeed used a very similar video of Obama to build their fake one. See how his face matches the rest of the picture.

And note how precisely the human mouth moves to form sounds. Also note the high resolution in the real video. The higher the resolution and quality of a video, the harder it is to fake it.

But for now, it takes a lot of time and effort to make a convincing fake video of someone talking. Online Tech Tips. Includes prebuilt ready to work standalone Windows 7,8,10 binary look readme.

Fast Company. Bibcode : arXivJ. Retrieved 3 April Retrieved 6 March Alan Zucconi. Rolling Stone. Retrieved 7 July Business Insider.

Retrieved 2 July Vice Media. Retrieved 10 September The employee has been fired". Retrieved 11 January Public Seminar.

Retrieved 19 February Extinction Rebellion Belgium. Retrieved 21 April Retrieved 20 October MIT Technology Review.

Music Times. Retrieved 26 August Retrieved 18 November Retrieved 7 January Retrieved 13 September Berkeley News.

Retrieved 19 December Spiegel Online. Retrieved 28 November Retrieved 1 January That Should Worry Us". Slate Magazine.

Retrieved 17 December Federal Election Retrieved 28 January Internet Speculative Fiction Database. The Telegraph.

Retrieved 24 October The Irish Times. Categories : Applications of computer vision Artificial intelligence applications Computer graphics Deep learning Identity theft Internet memes Special effects Words coined in the s.

Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file.

Camera apps have become increasingly sophisticated. Users can elongate legs, remove pimples, add on animal ears and now, some can even create false videos that look very real.

The technology used to create such digital content has quickly become accessible to the masses , and they are called "deepfakes. Deepfakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yield fabricated images and sounds that appear to be real.

Such videos are "becoming increasingly sophisticated and accessible," wrote John Villasenor, nonresident senior fellow of governance studies at the Center for Technology Innovation at Washington-based public policy organization, the Brookings Institution.

In fact, anybody who has a computer and access to the internet can technically produce deepfake content, said Villasenor, who is also a professor of electrical engineering at the University of California, Los Angeles.

The word deepfake combines the terms "deep learning" and "fake," and is a form of artificial intelligence. In simplistic terms, deepfakes are falsified videos made by means of deep learning, said Paul Barrett, adjunct professor of law at New York University.

Deep learning is "a subset of AI," and refers to arrangements of algorithms that can learn and make intelligent decisions on their own.

But the danger of that is "the technology can be used to make people believe something is real when it is not," said Peter Singer, cybersecurity and defense-focused strategist and senior fellow at New America think tank.

Villasenor told CNBC the technology "can be used to undermine the reputation of a political candidate by making the candidate appear to say or do things that never actually occurred.

A deep-learning system can produce a persuasive counterfeit by studying photographs and videos of a target person from multiple angles, and then mimicking its behavior and speech patterns.

Barrett explained that "once a preliminary fake has been produced, a method known as GANs, or generative adversarial networks, makes it more believable.

And note how precisely the human mouth moves to form sounds. Also note the high resolution in the real video. The higher the resolution and quality of a video, the harder it is to fake it.

But for now, it takes a lot of time and effort to make a convincing fake video of someone talking. So the simpler and lower-quality the video, the higher the chance someone could convincingly fake it.

BuzzFeed also recommends considering the source and seeing where the video has been covered online, which you should do with any rumor that seems too crazy to be true.

Be on your guard. He currently runs the scripted comedy podcast "Roommate From Hell. Everything you need to know about and expect during.

Or how I got my wife onto the Tonight Show". Retrieved 8 November The Outline. Retrieved 28 February The New York Times. Retrieved 24 March Bibcode : arXivS.

The Next Web. Retrieved 9 November Retrieved 16 October The Washington Post. NBC News. The Verge. ACM Trans. IEEE: — Business Insider Australia.

Retrieved 27 August Retrieved 9 July Retrieved 4 May Retrieved 4 April Retrieved 12 December The Daily Dot. Retrieved 22 December Online Tech Tips.

Includes prebuilt ready to work standalone Windows 7,8,10 binary look readme. Fast Company. Bibcode : arXivJ. Retrieved 3 April Retrieved 6 March Alan Zucconi.

Rolling Stone. Retrieved 7 July Business Insider. Retrieved 2 July Vice Media. Retrieved 10 September The employee has been fired".

Retrieved 11 January Public Seminar. Retrieved 19 February Extinction Rebellion Belgium. Retrieved 21 April Retrieved 20 October MIT Technology Review.

Sign up for free newsletters and get more CNBC delivered to your inbox. Get this delivered to your inbox, and more info about our products and services.

All Rights Reserved. Data also provided by. Skip Navigation. Markets Pre-Markets U. Key Points. Anybody who has a computer and access to the internet can technically produce a "deepfake" video, says John Villasenor, professor of electrical engineering at the University of California, Los Angeles.

VIDEO Singer is not the only one who's warned of the dangers of deepfakes. He said GANs didn't create this problem, but they'll make it worse.

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