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 growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every ...

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

FREEHOLD -- The DNA of 8-year-old Sophia Caneiro was found in five locations on a pair of bloody jeans recovered from her ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

Caltech scientists have developed a way to guide light on silicon wafers with low signal loss approaching that of optical ...

"Sushi-rolled" fiber chips are turning ordinary clothing into powerful, durable computers capable of image recognition and health monitoring.

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

While the latest UK Government report into animal testing was keen to highlight a (very slight) decrease from 2.67 million ...

The famed collider at Brookhaven National Laboratory has ended operations, but if all goes to plan, a new collider will rise ...

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