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

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 ...

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

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

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 ...

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

And machine learning will only accelerate: a recent survey of 2,778 top AI researchers found that, on aggregate, they believe ...

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

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...