Vijay Saravana Jaishanker explains why software defects cause modern vehicle recalls and how simulation-driven validation improves safety before deployment.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Welcome to AI Decoded , Fast Company ’s weekly newsletter that breaks down the most important news in the world of AI . You ...

Semiconductors are no longer just components; they are the foundation of how modern devices behave, respond, and ...

AI is flipping software development from execution to oversight. Here's how intent, validation and governance are replacing ...

As modern vehicle architecture becomes increasingly complex, the demand for efficient verification and validation grows. Addressing this challenge, Technica ...

SAN FRANCISCO, Feb. 10, 2026 /PRNewswire/ -- BotGauge AI, a US-headquartered Autonomous Quality-Assurance-as-a-Solution ...

Driving the future of fitness through advanced testing, engineering integration and real‑world product validation As we ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...