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 ...

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 ...

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 ...

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 ...

Simone Betteti, Giacomo Baggio, Francesco Bullo, Sandro Zampieri. Input-driven dynamics for robust memory retrieval in Hopfield networks. Science Advances, 2025; 11 (17) DOI: 10.1126/sciadv.adu6991 ...

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 ...

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 ...