The problem of "Out-of-Distribution" (OOD) is central here. Think of AI as a driver who knows only known roads. So, faced with an unknown path, it forces entry into its existing maps rather than ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

The trial-to-trial variability of neuronal responses and the correlated response variability among neurons are modulated by visual stimulus size in a manner that depends on cortical layer, suggesting ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Sensors, computer vision models, and artificial intelligence have combined to help CEAT Tyres’ Chennai factory reduce defects, waste and energy use, a.

This paper puts forward an analytical, faster and accurate approximation to compute cheapest-to-deliver discount curves for multi-currency collateral.