New AI Method Outsmarts CAPTCHA Security System @ Recursive Cortical Network
Scientific researchers have create a fresh artificial intelligence (AI) system to break CAPTCHA, the software that was developed to prevent robot from gaining access to websites.
CAPTCHA dares people to show that they are human by identifying combinations of letters and numbers that machines would battle to complete accurately.
It requires users to type in text that has been twisted – a task considered easy enough for humans, but not possible for robots.
In the past, several research teams have shown that beating CAPTCHA was possible.
They used neural networks to absorb what a CAPTCHA was and then to prevent systems that used them.
However, such techniques required the system to munch thousands or millions of examples to become reasonably experienced at splitting CAPTCHA.
Researchers at Vicarious that have experience in imagination, a California-based artificial intelligence organization has come up with a modified neural network that could split CAPTCHA after studying just a few examples.
The system is called a recursive cortical network, ‘TechXplore’ stated.
In a conventional neural network, intersection are created to hold new information, a network is built from the nodes and it is used to judge how to deal with new data.
At Vicarious AI Researchers used a neural network, too, but they added something new – recursion, a software method whereby data is used to acquire something new.
As that new process is learned, the results go back into the software, as well.
This operation is used repeatedly until a solution is attained, researchers said.
The technique is the one that has long been used to solve mazes.
By using recursion to a neural network, the researchers found they were able to lower the learning curve of their software dramatically.
The structure needed just five training steps, for example, to crack Google’s reCAPTCHA 67% of the time, they said.
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