To increase energy efficiency and reduce the carbon footprint of hydrogen fuel production, Fanglin Che, associate professor ...

Accurately modeling gross primary productivity (GPP) and evapotranspiration (ET) in terrestrial ecosystems is essential for ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

This issue showcases strategies that organizations are adopting to stay competitive as pressing industry trends shape the ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

In this article, we will discuss quantum computing and how it complements AI, including its ability to enhance AI models, and ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices ...

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...

Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, ...

A study presents a machine learning approach to accurately detect ionospheric amplitude scintillations, a phenomenon that significantly impacts Global Navigation Satellite System (GNSS) signals. By ...