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 at Rice University have created an AI-powered soft robotic arm made from a new light-responsive elastomer.

Long before today’s AI boom, Elektor was documenting the early foundations of artificial intelligence through practical ...

Thomson Reuters employs 26,000 people worldwide, many of whom are skilled technologists. Its Thomson Reuters Labs applied research division has been putting machine learning into operation for years ...

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

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

Several single-board computers with Sandia Labs neural-network AI connected into the Public Service ... physical data to ...

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 ...

Learn more about the terms and phrases associated with artificial intelligence (AI), so you can understand the future of ...

The second system, called MAGNET-AD, employs a graph neural network to detect Alzheimer’s disease before symptoms appear. It predicts both a patient’s cognitive performance score (PACC) and the time ...