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 ...

Archaeology offers an unparalleled material record of urban dynamics, spanning thousands of years and operating in varied ...

This week, Hackaday’s Elliot Williams and Kristina Panos met up over coffee to bring you the latest news, mystery sound ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

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

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

Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...

Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...

In Eastern Europe, shifting global orders have been a lived experience for decades. Just over thirty years ago, the end of ...

A new study of over 6,000 brain scans overturns the idea that global efficiency drives intelligence. Instead, researchers ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

Academic theory recommends very low investment risk near retirement, contrasting sharply with current target date fund (TDF) practices. Most TDFs maintain high-risk allocations—up to 90% in risky ...