By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

For years, the network fabric inside data centers were built for relatively predictable traffic flows. Testing this ...

HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

India is emerging as a large-scale real-world testing ground for consumer AI platforms, giving global AI companies critical ...

Several frontier AI models show signs of scheming. Anti-scheming training reduced misbehavior in some models. Models know they're being tested, which complicates results. New joint safety testing from ...

AI-powered tools are becoming more commonplace than ever, but now workers are sounding alarms, and it all comes back to how ...

Across the U.S. armed forces, artificial intelligence is no longer confined to research labs or experimental projects. It is now reshaping how service members learn, train, and prepare for combat.

Explore best practices and guardrails for agentic AI in pentesting, including scalability, rapid detection, automated triage, ...