The demand for reliable power systems in critical facilities continues to increase, putting pressure on engineers to design reliable systems within project budgets that are often decreasing. This ...

At the beginning of the 21st century, the National Academy of Engineering published a report identifying the 20 greatest engineering achievements of the 20th century. 1,2 These engineering ...

Production-grade Rust is here and it looks to meet the requirement of safety-critical industries. While Rust’s memory-safety guarantees are compelling, certification demands far more than safe code.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Ambitious international programs like NASA Artemis are leading the way into the next era of space exploration and human space flight driven by new technologies and commercial partnerships. TTTech ...

AI, famously, is a black-box solution. While neural networks are designed for specific applications, the training process produces millions or billions of parameters without us having much ...

The rapid integration of artificial intelligence (AI) and machine learning (ML) into safety-critical systems is one of the most significant engineering challenges of our time. Whether it’s a medical ...

Years ago, crash-test dummies were primarily built in traditional male figures. That is, female-figure dummies or those mirroring the size and physique of young children were often excluded from ...

As safety-critical systems become increasingly complex, the choice of processor architecture plays an important role in ensuring functional safety and system reliability. Consider an automotive ...