Prof. Kelleher delivered his lecture “Aging, Artificial Intelligence, and Outcomes: Modeling Age in Stroke Risk and Patient ...

The field of artificial neural networks is extremely complicated and readily evolving. In order to understand neural networks and how they process information, it is critical to examine how these ...

If you’ve dug into any articles on artificial intelligence, you’ve almost certainly run into the term “neural network.” Modeled loosely on the human brain, artificial neural networks enable computers ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George Stokes. It has proved its worth for modelling incompressible fluids in ...

Deep neural networks (DNNs) are powering the revolution in machine learning that is driving autonomous vehicles, and many other real-time data analysis tasks. The two most popular DNNs are ...

If you’ve spent any time reading about artificial intelligence, you’ll almost certainly have heard about artificial neural networks. But what exactly is one? Rather than enrolling in a comprehensive ...

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...

Many people have built brain-like neural networks that can learn on their own, but they're typically using plain old silicon to do it. Wouldn't it be better if the chips themselves were brain-like? A ...