In fighting deep fakes, mice may be great listeners

There may be a new weapon in the war against misinformation: mice.

As part of the evolving battle against ‚Äúdeep fakes‚ÄĚ – 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.

This is a snippet from an article by the BBC, you can read the full article here…

Turn selfies into classical portraits with the AI that fuels deepfakes

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.

China’s deepfake celebrity porn culture stirs debate about artificial intelligence use

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.

This is a snippet from an article by scmp, you can read the full article here…

Criminals are using deepfakes to impersonate CEOs

The threat deepfake audio poses to businesses cannot be understated. While someone using deepfake audio to pretend they‚Äôre the CEO of a company and getting that company‚Äôs accounting department to wire them $1 million because of an ‚Äúemergency‚ÄĚ is one thing,¬†the tech could also be used for sabotage.

What if one rival‚Äďor even a nation-state‚Äďwanted to sink Apple‚Äôs 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‚Äďwiping billions off the stock market in seconds.

This is a snippet from an article by fastcompany, you can read the full article here…

Google, Facebook and Twitter sent letters about deepfakes by Rep. Schiff

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.

This is a snippet from an article by cnet, you can read the full article here…

Deepfake your pet into another animal with this faceswapper

The PetSwap tool by Nvidia uses an algorithm similar to the ones used for so-called deepfakes to transform an image of your beloved pet into an image of another animal.

Ever wanted to know what your pet would look like if it were a different animal?

Well, whether you have or not, there’s now a new web tool that allows you to find out.

This is a snippet from an article by thestar, you can read the full article here…

A new way to use the AI behind deepfakes could improve cancer diagnosis

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.

This is a snippet from an article by technology review, you can read the full article here…