AI-assisted software development has evolved significantly over the last few years, moving from isolated code completion ...

As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...

As workflows evolve into collaborations between humans and AI agents, traditional user experiences based on forms, dashboards ...

This version of Mythos excels at long, complex tasks, but passes on questions about risky things like cybersecurity or ...

To stay competitive, organizations need to be open to reinvention that takes full advantage of AI's potential.

In 2026, the hype for artificial intelligence agents is louder than ever before. These semi-autonomous programs can "think" ...

Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in ...

Fortune 500 companies are already using the model to establish a baseline for adopting artificial intelligence technology and plan for future AI investments.

AI-enabled applications introduce attack surfaces that traditional security tools miss. XBOW argues continuous agentic testing, where AI fights AI, is the adaptive approach security teams now need.

Anthropic, Microsoft and Google are approaching self-improving AI from different angles, revealing how feedback loops are ...

The TPU Engineering School of Non-Destructive Testing and Safety has developed a demonstration prototype of the first ...

The rise of vibe coding can further amplify these problems as more operational context, architectural decisions, and business knowledge become scattered across prompts, conversations, generated code, ...