Developing test systems for R&D through production requires a combination of preparedness and ongoing evaluation. In order to carry out these tasks, the required systems must be capable of performing ...

CableEye wire harness testing systems easily link to custom test fixtures and harnesses and instantaneously check for faults, ...

The Department of Defense (DOD) identified test and evaluation modernization as a crucial part of its effort to get capabilities to warfighters faster. DOD organizations, including the Office of the ...

1. The OSD335x is an example of a complete system fitting into a tiny BGA package. We also discussed the advantages SiP brings to the design and manufacturing of semiconductors and how they can be ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

Although digital engineering has been around for years, its use within the Pentagon has been limited. The T-7A Red Hawk is one of only a handful of programs described as “radically digital." (Boeing) ...

Alexey Khursevich is a CEO and Сo-founder at Solvd, Inc., a global software engineering company headquartered in California, USA. High-load applications and systems are essential in today's digital ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Our space systems focus prepares you for careers in areas like space system development and testing, satellite telemetry, tracking and control, telecommunications electronics, commercial satellites, ...

Even with simulation, critical failure modes like resonance-induced fatigue and connection looseness can emerge during ...

The semiconductor market is evolving, with devices becoming more complex as chip designers add cores and pursue 2.5D and 3D integration strategies. This complexity presents challenges extending from ...

When AI can act, quality is no longer a model metric. It becomes operational risk, regulatory exposure, and brand risk. That is why testing autonomous AI is no longer just an engineering concern—it is ...