These are math’s most famous open questions. Solve one, and you’ll win a $1-million prize—but it’s only happened once since ...

Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...

Abstract: The challenging task of solving inverse scattering problems (ISPs) is due to their inherent ill-posedness and nonlinearity. To alleviate ill-posedness, a novel hybrid regularization method ...

Researchers say the findings raise questions about what happens to our brains and patterns if we depend too much on AI. Dashia is the consumer insights editor for CNET. She specializes in data-driven ...