NIST said Friday that its Center for AI Standards and Innovation, or CAISI, released an initial public draft of NIST AI 800-2 ...

Automated testing in game development is increasing in popularity, but still very much a niche discipline. It has proven ...

The gap between conceiving an advertising campaign and actually deploying it has always been a source of friction. Creative ...

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 ...

In an industry where companies often rise and fade with technology cycles, completing fourteen years speaks of something more ...

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Automation is necessary, but it can bring an "automation paradox": Speed without insight may simply propagate errors faster ...

Key opportunities in the Global App Test Automation Market include leveraging AI and machine learning to enhance testing efficiency, advancing cloud-based real device testing solutions, and ...

In the next few years, software testing — a critical but traditionally manual phase of development — is poised for a ...

U.S. Transportation Secretary Sean P. Duffy has announced that the Federal Railroad Administration’s (FRA) Railroad Safety Board has approved a new temporary waiver allowing U.S. railroads to expand ...