This Samsung AI Can Create a Fake Video of You From Just One Photo

Samsung researchers have developed a new software that requires just a single source image to create “living portraits” using just one photo of a person’s face.

Photo Credit: Egor Zakharov

The program works by using a dataset of multiple talking head videos featuring people with a wide variety of facial features. Researchers then trained the program to identify the “landmark” features of those faces: the eyes, the shape of the mouth, and their noses. Instead of pasting one face onto another and using the expressions of a specific person (which is what most deepfakes currently do), the new program uses common human facial expressions to puppeteer a new face on its own. It even works on the Mona Lisa!

Hopefully, they don’t figure out how to make the hair look real… or else.

The post This Samsung AI Can Create a Fake Video of You From Just One Photo appeared first on UberFacts.

Ten Facts That Sound Like Lies, But Are Completely True

Facts that sound like lies, but are completely true… Accompanied by Britney Spears GIFs.

1. When you get a kidney transplant, your kidneys are usually left in your body and a 3rd one is put in your pelvis.

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And yes, if you know someone who has had two kidney transplants, they can totally have 4 kidneys. 

2. Cosmic rays from outer space frequently cause glitches in your electronics.

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Your cars and phones are not safe. 

3. Your eyes have a pretty large blind spot that your brain is just filling with what it “thinks” you should be seeing.

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Yes, your brain loves to mess with you. 

4. Falling coconuts kill more people every year than sharks.

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Coconuts… you just don’t see them coming. 

5. Humans share 50% of their DNA with bananas.

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Bananas… they’re closer to us than we thought. 

6. Strawberries aren’t really berries… But avocados are.

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Your life is a lie

7. Cleopatra lived closer to the invention of the iPhone than she did to the building of the Great Pyramid.

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Your life is still a lie.

8. It rains diamonds on Saturn and Jupiter.

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You’re living on the wrong planet. 

9. There once existed a flying reptile that was the size of a giraffe.

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They’re extinct now so if you had no reason to be happy today, now you have one.

10. If you have 23 people in a room, there’s a 50% chance two of them have the same birthday

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But there’s a 100% chance that your birthday will be more important than theirs.

 

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Humans Find Meaningful Patterns in Meaningless Data

FPQPNS0H9T4LUWE.LARGEWhy do people see faces in nature, interpret window stains as human figures, hear voices in random sounds generated by electronic devices or find conspiracies in the daily news? A proximate cause is the priming effect, in which our brain and senses are prepared to interpret stimuli according to an expected model. UFOlogists see a face on Mars. Religionists see the Virgin Mary on the side of a building. Paranormalists hear dead people speaking to them through a radio receiver. Conspiracy theorists think 9/11 was an inside job by the Bush administration. Is there a deeper ultimate cause for why people believe such weird things? There is. I call it “patternicity,” or the tendency to find meaningful patterns in meaningless noise.

Traditionally, scientists have treated patternicity as an error in cognition. A type I error, or a false positive, is believing something is real when it is not (finding a nonexistent pattern). A type II error, or a false negative, is not believing something is real when it is (not recognizing a real pattern—call it “apat­ternicity”). In my 2000 book How We Believe (Times Books), I argue that our brains are belief engines: evolved pattern-recognition machines that connect the dots and create meaning out of the patterns that we think we see in nature. Sometimes A really is connected to B; sometimes it is not. When it is, we have learned something valuable about the environment from which we can make predictions that aid in survival and reproduction. We are the ancestors of those most successful at finding patterns. This process is called association learning, and it is fundamental to all animal behavior, from the humble worm C. elegans to H. sapiens.

Unfortunately, we did not evolve a Baloney Detection Network in the brain to distinguish between true and false patterns. We have no error-detection governor to modulate the pattern-recognition engine. (Thus the need for science with its self-correcting mechanisms of replication and peer review.) But such erroneous cognition is not likely to remove us from the gene pool and would therefore not have been selected against by evolution.

(Read more from Scientific American)