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

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like ...

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

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 ...

Not long ago, cars were judged by horsepower, exhaust notes, and cup holder counts. Today? Try AI-powered sensors, machine ...

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

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

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

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

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