Researchers at Concordia have developed a new method of measuring the amount of usable water stored in snowpacks. The ...

Florida Atlantic University (FAU) will become the first university in Florida to publicly host ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Eight students from a solar physics research group led by Juie Shetye, New Mexico State University astronomy assistant ...

A better understanding of the bedrock can help researchers calculate how quickly the continent's melting glaciers might ...

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

Domain adaptation remains a significant challenge in artificial intelligence, especially when models trained in one domain are required to perform well in another.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

California has a goal of rapidly expanding access to work credits, though tracking progress on that goal has been difficult so far.

Researchers have co-developed a new way to precisely control the internal structure of common plastics during 3D printing, allowing a single printed object to seamlessly shift from rigid to flexible ...

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...