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 ...
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 ...
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
ZHANGZHOU, FUJIAN, CHINA, January 19, 2026 /EINPresswire.com/ -- Rubber compounds and rubber seals have long played a ...
The Large Bearing Testing Machine has been developed and primarily used for commercial testing of large bearings. It is capable of applying 1,600 kips (7,117 kN) vertical load, and lateral ...
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 ...
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 ...
RAVENNA, Ohio—In response to the growing demand for electric vehicles, Smithers is adding a high-speed uniformity (HSU) machine to its Tire and Wheel Test Center in Ravenna. The ZF HSU 5.3 machine is ...
Science, engineering, and industry are being transformed through the use of artificial intelligence and machine learning techniques and principles. The Master of Science in Machine Learning uses a ...