A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

An AI flaw that can be found today in one model could be quietly replicated across dozens of products and services built on ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...

Carbon materials, such as carbon fibers and activated carbons, are essential across a wide variety of fields, encompassing everything from aerospace engineering to fuel cells and thermal insulation.

Are you worried your AI chatbot is trying to build a bomb or leak personal information about you? There’s a website for that.

Deepfake fraud attempts jumped more than 1,300% in 2024 according to Pindrop’s analysis of 1.2 billion calls, moving fro ...

Flaw Reporting for AI (FLARE-AI) allows developers and security researchers to submit artificial intelligence flaws for formal, coordinated disclosure.

A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

Abstract: Steel surface defect detection is an essential quality control task in manufacturing. As patterns of defects may be viewed as an object, some current defect detection methods, which have ...

“Semiconductor lithography inspection requires reliable detection of small pattern defects such as bridge, burr, pinch, and contamination. In this study, we propose a two-stage vision-language ...

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.

Abstract: The faults caused by insulator defects will seriously threaten the operational safety of the power grid. Therefore, insulator defect detection plays a crucial role in inspecting transmission ...