To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

In software testing, keeping the user interface consistent and error-free requires regular checks after every update. Teams ...

Researchers have published research detailing their development of an AI framework to detect defects in additively ...

Smart manufacturing technologies, such as digital tools and connected systems, can improve visibility, performance and ...

Laser powder bed fusion (LPBF) is revolutionizing metal 3D printing, but ensuring consistent quality is still a challenge. Researchers are now using AI and machine learning to monitor melt pools, ...

Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy and ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...

Abstract: This work proposes the use of machine learning-based techniques for enhanced testability and performance calibration of an industrial 79-GHz power amplifier (PA) designed for an automotive ...