Scientists in Korea have developed a new methodology to employ machine-learning models in "smart" solar cell manufacturing. They utilized data collected from equipment that closely resembles actual ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...

Scientists used geographic information systems and analytical hierarchy process methods to identify Iran’s most suitable ...

It uses machine learning to detect segments of DNA shared between species, allowing scientists to identify when and where gene flow occurred. Unlike older genetic methods ... This “assimilation model” ...

A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

Wireless power transfer (WPT) systems deliver electricity without cables but often struggle with voltage stability when loads change. In this study, researchers developed a machine learning-based ...