Monitoring crop health has always been one of agriculture's most important and most challenging tasks. Farmers traditionally ...

As the cost of test rises with complexity of AI and other advanced devices, system-level test with integrated test cells is ...

Agentic workflows enable AI to write code, debug, and test embedded systems when equipped with proper tools and safeguards.

It becomes especially important in the context of modern C++, where you need to have full control over memory, concurrency ...

By using a sustainable testing strategy, you can skip unnecessary tests, ensure failing fast and early, and only run tests ...

Print Join the Discussion View in the ACM Digital Library In recent years, more conciliatory attitudes have emerged, attested ...

Machine learning doesn't replace human intelligence, but it can outlast human endurance, which makes it a helpful tool for ...

That gap is why spec-driven development (SDD) exists. The conversation around it is stuck one step too early, fixed on ...

The rise of generative and agentic AI has dramatically changed the software-building process - and the skills required.

AI can strengthen software governance through SLOs, SBOMs and policy as code to improve reliability, supply chain security and infrastructure compliance.

Advanced oil gas simulation, digital twins, and HIL validation improve operational reliability, reduce technical risk, and ...