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.

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 ...

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 ...

NVIDIA (NASDAQ:NVDA) revealed that Taiwan Semiconductor Manufacturing Co. (NYSE:TSM) is deploying a range of its artificial intelligence and accelerated computing technologies throughout semiconductor ...

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

Machine vision helps poultry processors automate efficiently. Explore how AI-based vision systems identify defects, prevent costly mistakes, and guide automation strategy.

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 ...

To showcase the launch of its physical AI automation platform at Automate 2026, Universal Robots demonstrated its UR7e robots ...

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 ...

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 ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...