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

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 ...

From the Third Intermediate Period through the Late, Ptolemaic, and Roman eras, ancient Egyptian private funerary monuments underwent marked architectural and ritual reconfigurations ...

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

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

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the backbone of AI, but mathematicians are also turning to these tools for tasks ...

Herbalife Ltd operates in the consumer health and wellness products sector, with an emphasis on everyday nutrition and ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Advances in mechanistic modeling, machine learning, and biomedical data integration are making it possible to move beyond “one-size-fits-all” evidence and ...

Soldiers were encouraged to wash their feet regularly and often had their feet inspected. On the Western Front, the war was fought by soldiers in trenches. Trenches were long, narrow ditches dug into ...

1 School of Postgraduate Studies and Research (SPGSR), Amoud University, Borama, Somaliland 2 School of Postgraduate Studies and Research, University of Hargeisa, Hargeisa, Somalia Background: ...