The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new ...

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

The suppression of the 3D-Flow invention — a breakthrough recognized in 1993 that could have saved billions of euros and millions of lives—instead supported the use of FPGA for an application that is ...

From AI adoption to data sharing, see what’s shaping the lab of the future in 2025 – and why education could be the next big ...

Attackers are abusing bidirectional text to make fake URLs look real, reviving a decade-old browser flaw now fueling new ...

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

A research team developed a 3D deep learning–based panoptic segmentation model that combines semantic and instance ...