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When Computer Vision Works More Like a Brain, It Sees More Like People Do

When Computer Vision Works More Like a Brain, It Sees More Like People Do
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When computer vision works more like a brain, it sees more like people do

When computer vision works more like a brain, it sees more like people do
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When computer vision works more like a brain, it sees more like people do

Scientists from MIT and IBM Research made a computer vision model more robust by training it to work like a part of the brain that humans and other primates rely on for object recognition. ....

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Quanta Magazine

Quanta Magazine
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Here's how neuroscience can protect AI from cyberattacks


Here’s how neuroscience can protect AI from cyberattacks
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Deep learning has come a long way since the days it could only recognize hand-written characters on checks and envelopes. Today, deep neural networks have become a key component of many computer vision applications, from photo and video editors to medical software and self-driving cars.
Roughly fashioned after the structure of the brain, neural networks have come closer to seeing the world as we humans do. But they still have a long way to go and make mistakes in situations that humans would never err.
These situations, generally known as adversarial examples, change the behavior of an AI model in befuddling ways. Adversarial machine learning is one of the greatest challenges of current artificial intelligence systems. They can lead machine learning models failing in unpredictable ways or becoming vulnerable to cyberattacks. ....

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