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 ...

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

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

BW Converting is proud to announce that a digital innovation initiative centered around fault anomalies has been selected as ...

Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity ...

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

Orchid seeds are spread by the wind, which is why they're so tiny. Varying when each seed germinates protects the population ...

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

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...