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 how ...

On the hardware side, the next frontier for deep learning innovation will be in getting the performance, efficiency, and accuracy needed for inference at scale. But the newest battleground in software ...

There are many things computers can do better than humans—calculate square roots or retrieve a web page instantaneously—but our incredible brains are still a step ahead when it comes to common sense, ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

Neural networks are the core software of deep learning. Even though they’re so widespread, however, they’re really poorly understood. Researchers have observed their emergent properties without ...

Many "AI experts" have sprung up in the machine learning space since the advent of ChatGPT and other advanced generative AI constructs late last year, but Dr. James McCaffrey of Microsoft Research is ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

"In the artificial intelligence field, computer scientists have designed various artificial neural networks, including RNNs, which effectively solve problems, such as language translation and object ...

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.