Silent silicon defects may cause modern CPUs and GPUs to produce incorrect results without crashing, raising concerns about data integrity in large-scale computing systems.

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Nationwide Lemon Law Attorneys Help Consumers Fight EV Battery Defects, Transmission Failures, and Manufacturing Issues ...

Chrysler, operating as FCA US, LLC, has filed a safety recall covering 456,287 vehicles across its Ram truck and Jeep lineups ...

Hyundai Motor Co., Kia Corp. and BMW Korea will voluntarily recall a combined 179,880 vehicles across 51 models due to ...

Abstract: Software defect prediction aims to identify potential defects by analyzing historical project data, thereby reducing development costs and improving software quality. Existing approaches ...

Two interventional fluoroscopic X-ray systems were recalled in separate Class II events due to safety issues affecting image acquisition and mechanical movement, according to FDA notices posted Jan.

The system, developed by Panevo, a Canadian clear technology and manufacturing analytics company, reportedly achieved approximately 97% detection reliability with minimal false positives of Muskoka’s ...

ABSTRACT: Agentic AI—software agents that plan, generate, test, and iterate across the software lifecycle—is bending the software cost curve. We merge two complementary analyses: 1) a ...

Software companies’ pitch to investors could use an upgrade. Once a favorite of Wall Street, software stocks have been sliding lately, with investors increasingly concerned about how the sector could ...

Abstract: Software defect prediction (SDP) is essential for improving software quality and reliability. Traditional machine learning methods, while effective, often fail in capturing complex ...