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 ...

AI buzz is everywhere. Take a look at how you can begin to prepare for the future of process-control AI by following these ...

KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...

The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe.

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...