New Facebook Software Uses AI to Match Faces with (Almost) Human Accuracy
March 18, 2014 4:35 PM
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The software is called "DeepFace"
Facebook has created a piece of software that can tell whether two faces match with near-human accuracy. According to
MIT Technology Review
, the new Facebook software is called DeepFace, and it utilizes deep learning for facial verification.
Deep learning is a new branch of artificial intelligence (AI) that uses networks of simulated neurons to recognize patterns in large quantities of data. And facial verification is different from
, because it recognizes that two images reveal the same face where the latter puts a name to a face.
What's more is that DeepFace can accomplish facial verification whether the person is facing forward or not. This is how it works: DeepFace uses a 3-D model of an “average” forward-looking face to adjust the angle of the face it's attempting to verify. This makes the face forward-looking. Then the simulated neural network configures a numerical description of the reoriented face, and if DeepFace finds descriptions from two different images that nearly match, it concludes they must be the same face.
DeepFace [SOURCE: MIT Technology Review]
In testing, the researchers put DeepFace up against a standard data set used to benchmark face-processing software.
When asked if two photos of faces are that of the same person, a human will answer correctly 97.53 percent of the time. DeepFace managed to get it right 97.25 percent of the time with the same challenges.
The report added that changes in lighting will not affect DeepFace's accuracy.
Facebook was able to make such a leap in AI because of its enormous database of photos. It was able to train DeepFace to recognize patterns with its copious amount of photos to choose from, where people are presented in many different poses in various environments within the photos. This made DeepFace more accurate over time.
DeepFace was made by Yaniv Taigman and other members of Facebook’s AI team. They will present their work at the
IEEE Conference on Computer Vision and Pattern Recognition
in June 2014.
MIT Technology Review
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RE: Person of Interest
3/19/2014 1:22:35 PM
I would call a world without a future (or atleast a very bad one) the worst possible world to live in. Atleast in the past we had the prospect of the world becoming a better place.
The only reason why people still think so is because of mass delusion, very much akin to what the nazi's had going on. Just because the jews aren't being targeted (for once) doesn't mean it's not going on.
Just look at the US financial sector and then ask yourself why people still think the US is a rich country. Or the southern europian nations, where the only thing has changed in the past 4 years is that they're even deeper into debt. Or japan, Who we all seem to think is running just fine with a 200%+ debt-to-gdp ratio. Or China, who created even more credit then the fed and the bank of japan combined in the past 5 years (I'd watch this one because it's unwinding as we speak, copper prices have crashed and some chinese companies have already defaulted).
Look at everything that has happened in the financial world in the past 5 years, and you'll see, mass delusion is the only thing keeping the economy of the world going right now. When that ends, it will end very.... very badly.
RE: Person of Interest
3/19/2014 3:55:31 PM
You must be a hit at parties.
"Nowadays you can buy a CPU cheaper than the CPU fan." -- Unnamed AMD executive
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