Machine-learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection

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

Computer Vision And ML Defect Detection In Concrete AM

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

Using AI in Visual Regression Testing to Boost Software Quality

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

AI framework improves defect detection in AM alloys

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

Advancing Food Manufacturing Through Digital Transformation

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

US researchers use machine learning to detect hidden solar array defects

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 ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

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 ...
IEEE

Machine Learning-Based Defect Detection, Output Matching Assessment, and Performance Recentering of a 79-GHz Four-Way CMOS Power Amplifier

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 ...