Editor’s note: One of the central technologies of artificial intelligence is neural networks. In , Tam Nguyen, a professor of computer science at the University of Dayton, explains how neural ...

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Despite the errors it makes, this video-based system is part of a wave of new computer software that can interpret images with near-human accuracy. What is one example that would be familiar to ...

When computer scientists at Google's mysterious X lab built a neural network of 16,000 computer processors with one billion connections and let it browse YouTube, it did what many web users might ...

Mohamad Hassoun, author of Fundamentals of Artificial Neural Networks (MIT Press, 1995) and a professor of electrical and computer engineering at Wayne State University, adapts an introductory ...

Two researchers show that for neural networks to be able to remember better, they need far more parameters than previously thought.

Computer vision algorithms usually rely on convolutional neural networks, or CNNs. CNNs typically use convolutional, pooling, ReLU, fully connected, and loss layers to simulate a visual cortex.