New research offers clues to what goes on inside the minds of machines as they learn to see. Instead of attempting to account for a neural network's decision-making on a post hoc basis, their method ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret ...

Scientists headed by physicists Prof. Wolfram Pernice, Prof. Martin Salinga and computer specialist Prof. Benjamin Risse, all from the University of Münster (Germany), developed a so-called ...

A hacker managed to pull Tesla’s vision depth perception neural net from his car with “Full Self-Driving” package. You can see how the vehicle detects depth with a point-cloud view powered by computer ...

In research that could be useful in making more capable robots, Brown University mathematicians developed an artificial ...

Researchers at the University of Pennsylvania have developed a powerful new optical chip that can process almost 2 billion images per second. The device is made up of a neural network that processes ...

DURHAM, N.C. -- The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks. Loosely modeled on the ...