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 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 ...

"It’s an outlier case." Expert debunks misleading graphs making rounds online: 'Deeply dishonest' first appeared on The Cool Down.

AG1 is a greens powder containing over 70 ingredients. Most of it is freeze-dried vegetable powder blends. Basically, instead ...

These are two examples of how climate scientists manipulate data to generate scary-looking charts. Global warming is real, ...

Explore how intelligent document processing transforms dark, unstructured data into actionable intelligence—enabling faster ...

While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data ...

This post is from our data newsletter, the Rural Index, headed by Sarah Melotte, the Daily Yonder’s data reporter. Subscribe to get a ...

A just-released study reexamines whether the body compensates for exercise by conserving energy elsewhere—and why diet may ...

Meha Jain uses satellite imagery and machine learning to help smallholder farmers increase their food production sustainably.