Crazy face-swapping in this clip, don´t let your eyes off the video! 😀
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There may be a new weapon in the war against misinformation: mice.
As part of the evolving battle against “deep fakes” – videos and audio featuring famous figures, created using machine learning, designed to look and sound genuine – researchers are turning to new methods in an attempt to get ahead of the increasingly sophisticated technology.
And it’s at the University of Oregon’s Institute of Neuroscience where one of the more outlandish ideas is being tested. A research team is working on training mice to understand irregularities within speech, a task the animals can do with remarkable accuracy.
Turn selfies into classical portraits with the AI that fuels deepfakes
It’s the same AI technique behind deepfakes, but also a $432,500 artwork.
The news: The tool lets users upload their photos, then view a classical-style faux watercolour, oil, or ink portrait based on the photo a few seconds later. Each one is unique. You can give it a go here.
The widespread use of artificial intelligence to create deepfake celebrity porn videos for Chinese internet users has raised fresh questions about the use and abuse of technology.
While China’s strict internet controls should, in theory, prevent people from accessing pornographic content, an investigation by The Beijing News published on Thursday uncovered numerous platforms where people were selling services that offered to swap the faces of celebrities, or members of the public, onto images of porn stars for less than US$1.
The threat deepfake audio poses to businesses cannot be understated. While someone using deepfake audio to pretend they’re the CEO of a company and getting that company’s accounting department to wire them $1 million because of an “emergency” is one thing, the tech could also be used for sabotage.
What if one rival–or even a nation-state–wanted to sink Apple’s stock price? A well-timed deepfake audio clip that purports to show Tim Cook having a private conversation with someone about iPhone sales tanking could do just that–wiping billions off the stock market in seconds.
The chairman of the House Intelligence Committee wants to know how social media will handle deepfake videos ahead of the next presidential election.
Rep. Adam Schiff, chairman of the House Intelligence Committee, has sent letters asking Facebook, Google and Twitter how they plan to deal with deepfakes ahead of the 2020 presidential election. Schiff’s concerns follow the disinformation campaigns that spread across social media during the 2016 presidential campaign, according to a statement released Monday.
Generative adversarial networks, the algorithms responsible for deepfakes, have developed a bit of a bad rap of late. But their ability to synthesize highly realistic images could also have important benefits for medical diagnosis.
Deep-learning algorithms are excellent at pattern-matching in images; they can be trained to detect different types of cancer in a CT scan, differentiate diseases in MRIs, and identify abnormalities in an x-ray.