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 ...

Accurate neural network computer vision without the 'black box' Date: December 15, 2020 Source: Duke University Summary: New research offers clues to what goes on inside the minds of machines as ...

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 ...

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 ...

The tiny worm C. elegans is the only living being whose neural network has been analyzed completely. It can therefore be transferred to a computer, creating a virtual copy of the worm which ...

Neural networks are an old idea—at least by the standards of computer science. Way back in 1957, Cornell University's Frank Rosenblatt published a report describing an early conception of neural ...

One of the symposium’s most popular events, the student poster session, had 58 posters. Anna Schmedding, a Ph.D. student from William & Mary, took home the 2024 Best Poster Award for outstanding ...

Artificial intelligence researchers have celebrated a string of successes with neural networks, computer programs that roughly mimic how our brains are organized. But despite rapid progress, neural ...

Instructor Spring 2019: Nicholas DronenAbout this CourseNeural networks have enjoyed several waves of popularity over the past half century. Each time they become popular, they promise to provide a ...

Researchers say their new algorithm trained on a database of various TV show clips can detect sarcasm 75% of the time. By Tom Hawking Published May 17, 2024 1:17 PM EDT Get the Popular Science ...

The University of Science has revealed it has developed a binarised neural network (BNN) scheme using ternary gradients to address the computational challenges of internet of things (IoT) edge ...