AI testing tools are becoming part of the normal QA conversation. They can generate test cases, help with automation, ...

How AI-powered test automation is reshaping software testing, from smarter regression suites to quality intelligence that ...

Allocating capital toward autonomous security validation yields better returns than hiring consultants. High-speed software development creates a volume of code that humans cannot audit effectively.

I/O and lane repair capabilities are becoming critical to improving yield. System-level testing catches marginal defects and rare defects such as silent data corruption errors. Synopsys and TSMC ...

Most engineering teams today say they’ve adopted AI coding tools like Cursor, GitHub Copilot and Claude Code. The tools are installed, subscriptions are active, and developers are using them daily.

Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the ...