Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus ...

CSIRO researchers have used quantum machine learning to enhance semiconductor fabrication—a world-first that could reshape ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

Researchers have used machine learning to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the ...

Ruoming Pang, a ‘distinguished engineer’ and the manager in charge of Apple’s foundational models team, has joined Meta, ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

Learn how the Reinforcement Learned Teacher model slashes AI training costs, accelerates timelines, and democratizes ...

The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. We are now looking for: ...