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

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

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

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 ...

Create stunning visuals in seconds with Gemini Canvas and Gamma 3.0 storytelling agent. Learn easy AI infographic hacks to ...

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

Overview: Step-by-step guide on how to control a robot with Python.Learn Python-based motor control, sensors, and feedback ...

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

Data science has emerged as the strategic backbone of the digital economy, transforming data from chaos into clarity and ...

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