The old "garbage in, garbage out" adage has never gone out of style. The ravenous appetite for data on the part of analytics and machine learning models has elevated the urgency to get the data right.

And the reason for this is because there is so much at stake.” Cars and planes need to be extremely reliable because people ...

AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

Sharing data from design to the field can improve reliability, but it raises other questions for which there are no clear answers today. SE: How can the industry ensure system-level reliability in ...

Collaboration enables SoC manufacturers to improve their qualification envelope to achieve lifetime reliability, shorten their root cause analysis time, and reduce operational costs HAIFA, ...

Mission-critical facilities—encompassing data centers, biomedical manufacturing complexes, petrochemical refineries, and energy infrastructure—depend fundamentally upon the reliability and predictive ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their applications in improving industrial efficiency and flexibility. It also ...