Artificial Intelligence is no longer a distant concept or a buzzword confined to tech circles, it has quietly become an ...

The remarkable success in graph neural networks (GNNs) promotes the eXplainable Graph Learning (XGL) methods. However, existing XGL approaches are susceptible to exploiting shortcuts (aka, spurious ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, promising faster diagnoses, and cheaper testing. But new research from the ...

If we design AI systems that shortcut the learning process, we risk undermining the very purpose and value of education.

Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes. From diagnosing disease, to personalizing treatment, ...