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 ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

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 ...

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

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Astronomers have announced the discovery of what appears to be an "ice cold Earth," a chilly but potentially habitable rocky ...

There is a developed method to rank the severity of our winter. Let's look to see if this winter has really been as harsh as ...

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

True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

I take hydration seriously, but this reusable, smart water bottle helped me realize I wasn't drinking enough water.