Instrumental's AI-powered Synchronized Learning detects defects in high-density connectors with 99.9% accuracy — ...

Strategically reducing products, processes and value chains can legally minimize duty costs while improving resilience.

Researchers at the University of California, Irvine, Israel's Tel Aviv University and other institutions have developed a first-of-its-kind membrane through which charged molecules pass using nothing ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and ...

Tolomatic’s John Fenske and Mason Cousins weigh in on how the industry is repositioning as electrification, systems ...

Explore how DFMEA transforms product development by identifying potential risks, optimizing designs, and ensuring compliance with regulatory standards.

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.

The MTIA processors are the tech giant’s latest attempt to build its own AI hardware, even as it continues spending billions on gear from industry leaders like Nvidia.

Every engineering leader watching the agentic coding wave is eventually going to face the same question: if AI can generate production-quality code faster than any team, what does governance look like ...