Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

You may not remember it, but odds are you took a few tumbles during your toddler era. You weren't alone. Falling, after all, ...

By the time generative AI came on the scene, he had read enough books on teaching to have a “pretty-good sense” of how he was supposed to design an effective course. What he didn’t have was help.

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

Researchers from the University of Southern California, University of Massachusetts, University of California Los Angeles, ...

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

University of Texas at Dallas researchers have developed biosensor technology that, when combined with artificial ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Abstract: Deep learning has brought substantial advancements to computer vision in recent years by providing answers to challenging visual interpretation problems. It investigates several DL ...

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or instruction. Researchers at the University of Texas at Dallas, along with ...