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 ...

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

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

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...

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

BW Converting is proud to announce that a digital innovation initiative centered around fault anomalies has been selected as ...

NSF CAREER Award recognizes Indian American professor’s innovative approach to bridging human expertise and artificial AI ...

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

Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine ...

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

Despite the recent announcement from the Department of Defense (DoD), I posit that Artificial Intelligence (AI) cannot ...

In the hippocampus, a critical brain region for learning and memory, new cells emerge in some people into late adulthood, ...