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

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.

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

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 ...

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 ...

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

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

The human body relies on precise genetic instructions to function, and cancer begins when these instructions get scrambled.

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...