Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy.

Materials scientists at Rice University have developed a new workflow methodology for measuring microscopic defects in ...

Addressing the pervasive challenges within the software development lifecycle (SDLC), such as poorly defined requirements, ...

Patch the Planet’ pairs automated analysis with expert review to uncover and remediate vulnerabilities in core infrastructure ...

OpenAI is rolling out the full, limited-release version of GPT-5.5-Cyber—a specialized AI model that outperforms its ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

Overview:  Functional testing tools help teams verify that software works as expected across web, mobile, and API ...

I'll explore how integrating a comprehensive AI-driven onboarding framework can provide a realistic, effective blueprint for modern financial institutions.

The share of entry-level hiring in the sector has fallen to around 15% in 2025 from 28% in 2024 as companies focus more on AI ...

This vibe coding cheat sheet explains how plain-language prompts can build apps fast, plus the planning, testing, and security checks needed.

Automated vehicles have been steadily rolling out in U.S. cities, but scaled deployment still faces a daunting challenge: proving the technology can safely navigate the complexity of real-world ...