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

Scientists are striving to discover new semiconductor materials that could boost the efficiency of solar cells and other ...

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

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

At the behest of AMD, Sony created a QA team to analyze Project Amethyst's upscaling technology and constantly give feedback ...

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

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

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

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

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

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

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