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 ...

Overall, the citizen scientists identified 10,001 eclipsing binary pairs. Of those, 7,936 were previously unknown.

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 ...

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 ...

He also referred to the recent Cabinet decision approving $12 billion (₹1 lakh crore) for the Department of Science and ...

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

Delos also uses its model to distinguish insurable properties in areas often redlined by traditional markets. McIntyre said ...