Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Thinking about how a neural network would process just one image makes it clearer why AI needs fast computers. Like I mentioned before, each pixel in a color image will be represented by 3 numbers ...

What are some examples of neural networks that are familiar to most people? There are many applications of neural networks. One common example is your smartphone camera’s ability to recognize faces..

A ‘differentiable neural computer’ is introduced that combines the learning capabilities of a neural network with an external memory analogous to the random-access memory in a conventional ...

So in that sense, it’s going to the core of computer science.” The standard expectations for the size of neural networks come from an analysis of how they memorize data. But to understand memorization ...

Andrej Karpathy, Tesla’s head of AI and computer vision, gave an interesting talk to get into how Tesla trains its neural networks for self-driving. It results in an interesting overview of the ...

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 ...

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