In this digital world, it may be hard for some to believe that there’s still a place for anything manual or physical—especially in the engineering realm. And, while it’s true that today’s technologies ...
Complex grids depend on equipment such as transformers, protection relays, switchgear, and cables—each of which can develop faults not immediately visible during normal operation. As a result, ...
A dive into the engineering behind Tektronix's new 7 Series 4-ch. scope featuring 25-GHz bandwidth, 125-Gsample/s rate, world-class ENOB, and 2-Gsample/ch memory depth. Tek’s new 7 Series scope ...
When a tier-one automotive supplier, a long-time customer of Pensar Otra Vez, needed a new printed-circuit board (PCB) handler, project manager Mike Edwards automatically went back to the drawing ...
Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...
According to market research firm Gartner, Inc., in assessing the completion rate of data science projects, as well as the bottom-line value they generate for their companies, only between 15 and 20 ...
ZHANGZHOU, FUJIAN, CHINA, January 19, 2026 /EINPresswire.com/ — Rubber compounds and rubber seals have long played a fundamental role in industrial equipment and ...
TOKYO, May 08, 2025 (GLOBE NEWSWIRE) -- Leading semiconductor test equipment supplier Advantest Corporation (TSE: 6857) today unveiled SiConic Test Engineering (TE), the newest addition to the SiConic ...
The majority of software development teams believe they don’t test well. They understand that the effect of quality defects is substantial, and they invest heavily in quality assurance, but they still ...
Material testing is important in big industry, where manufacturers must be able to trust the properties of the raw materials they’re using. The rest of us generally take a supplier’s word for it that ...
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
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