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 ...

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 ...

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 ...

Woojin Jung, an assistant professor at the Rutgers School of Social Work, said she has found a better strategy. Her team has ...

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

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

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 ...