Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Spec-driven development means making your intent explicit before you start coding, says Ewan Mc Phail, lead AI engineer at ...

AI coding assistants can speed up bounded tasks, but research shows security and review risks rise in complex codebases.

ITU AI for Good Global Summit 2026 opens Day Zero on July 7 at Palexpo Geneva, featuring agentic AI security workshops and ...

The first structured, multi-lab framework for testing the most powerful artificial intelligence models before they reach the public is days away from becoming official — and buried inside the emerging ...

Healthcare coding has fundamentally transformed from volume-driven revenue capture to compliance-first, defensible documentation standards.

Unauthorised access to a development and testing environment managed by IBM has exposed the names, NRIC numbers and property addresses of about 70,000 people held by the Singapore Land Authority ...

A step-by-step guide to building HIPAA-compliant AI medical coding systems: PHI controls, 5-layer security architecture, BAA ...

A comprehensive audit of AI-assisted software development gives CISOs the visibility needed to quantify risk, strengthen ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...