QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Its use results in faster development, cleaner testbenches, and a modern software-oriented approach to validating FPGA and ...

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...

Quality engineering is the practice of embedding quality into every stage of delivery—not simply testing after the code is ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by extracting TTPs. This blog post shows an AI-assisted workflow that does the ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

OpenAI’s latest coding-focused AI model is being positioned as a major leap forward for software development teams—promising faster prototyping, cleaner ...

Markets have this month shown elevated sensitivity to new AI debuts that threaten established businesses, hitting everything ...

The Claude AI developer stated that it has partnered with companies like Air India to aid developers in creating and shipping custom software as required by the airline company.

ByteDance Ltd. and Zhipu have joined a flurry of Chinese companies releasing major AI model upgrades, raising the stakes in ...