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 ...

In this study, our objective is to build a highly accurate machine learning model using these data. We focus on the decision tree machine learning algorithm, and, instead of applying it as is, we use ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

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

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

New Delhi: As the global economy transitions to data-driven decision-making, the demand for data science and machine learning professionals has surged. Keeping this in mind, IIT Delhi has ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

Academic medical centers could transform patient care by adopting principles from learning health systems principles, ...