Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

Turning tabular data into ‘pseudo-notes’ that mirror clinical documentation allows AI models to analyze patient information ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives ...

The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Scientists in Malaysia have developed a novel deep-learning method for PV suitability mapping. Applying the new approach to the Middle East, they found that approximately 5.8% of the region has very ...

Based on Landsat-8 images, we first extracted glacial lakes in large-scale alpine areas using a U-net network model. To make it a self-attention U-net network, we introduced the attention mechanism ...

Failure mode and effect analysis (FMEA) is a potent risk analytical instrument extensively utilized for enhancing systems’ quality. Because the classical FMEA model has some deficiencies, numerous ...