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

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

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

Last Thursday morning, I was sitting alone with a cup of kopi-C-kosong at the Engineering Tower, when a thought came quietly.

Modern interconnects are, in essence, precision transmission lines. The challenge lies in achieving controlled impedance across multiple materials, interfaces, and manufacturing processes, from the ...

The Cetacean Translation Initiative (CETI) is using artificial intelligence to help understand sperm whale communications.

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

Liu, R. and DeLuca, D. (2025) How Does the Healthcare Community Perceive Artificial Intelligence? —A Systematic Review.