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 ...

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

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

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 ...

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

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

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

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...