pv magazine International

How to detect low-energy fractures in PV modules

Researchers developed a daylight electroluminescence imaging method that enables detection of low-energy glass cracks in PV ...
IEEE

Deep-Learning-Based Defect Detection for Light Aircraft With Unmanned Aircraft Systems

Abstract: Visual inspections of aircraft are a vital aspect of aircraft maintenance. They involve ground personnel walking around the aircraft, mounting scaffolding or ladders, and fully inspecting ...
IEEE

Military Aircraft Surface Defect Detection Using Machine Learning

Abstract: This paper presents a novel approach to automating aircraft surface inspection by leveraging deep learning techniques for the classification of thirteen different types of defects across the ...
Semiconductor Engineering

AI Models Transform Defect Inspection And Review, But Can Fail To Scale

AI plays a role in improving defect capture rate and distinguishing between yield-killing and nuisance defects. New developments in wafer edge inspection are proving essential to bonded wafer yields.
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...
qz

Nvidia and TSMC are bringing AI inside chip factories

TSMC is using several Nvidia software libraries on Nvidia GPUs to address some of the most computationally intensive stages of chip production. Benchmarks cited by both companies put cuLitho's ...
Android

TSMC Is Using NVIDIA AI to Build the Next Generation of Silicon

TSMC has expanded its three-decade partnership with NVIDIA by integrating accelerated computing, CUDA-X libraries, and machine learning models directly into its semiconductor fabrication facilities to ...