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 ...

As artificial intelligence (AI) becomes a fixture across a broad range of technological fields, AI technology continues to evolve at rapid rates.

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

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 ...

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 ...

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 ...

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