The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

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

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...