The integration of machine learning with intelligent sensing tools enables high-accuracy state perception. This allows machines to interpret data on seedling health, soil condition, and crop readiness ...

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

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 ...

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

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

Scientists had theorized about the possibility of a plasma physics phenomenon, but their AI system discovered the real thing.

A building is only as strong as its foundation" is a common adage to signify the importance of having a stable and solid base to build upon. The type ...

Meta is intensifying its recruitment of elite AI researchers, according to a Wall Street Journal report, with a curated “List ...

Scientists used a deep learning algorithm to map the size and location of nearly 94 million boulders on the lunar surface, ...