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

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

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 ...

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

It's about bidding emotional farewell to a 2009 Honda City SV Petrol MT affectionately named Batmobile, or simply Bat. After ...

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

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

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

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

Drug discovery has traditionally been slow, expensive and prone to failure, but AI and machine learning are set to change all ...