AI made experiments cheap to run, not easy to trust. Build an experimentation framework that gets harder to pass as the tests ...

This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...

I gave Claude access to my Home Assistant. It helped me audit, debug, and improve my smart home better than I ever could have.

Aaron Erickson explains how NVIDIA designs and tests purpose-built AI agent hierarchies. For senior developers and architects ...

As large language models become more capable, users are tempted to delegate knowledge tasks where models process documents on their behalf and provide the finished results. But how far can you trust ...

This is achieved via Bayesian Design of Experiments, which helps to efficiently navigate parameter search spaces. It balances exploitation of parameter space regions known to lead to good outcomes and ...

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Measures how skill documentation design affects Claude Code's adherence to recommended patterns. tasks/ # Self-contained benchmark tasks ls-lang-tracing/ # Each task has its own directory ...

Irene Okpanachi is a Features writer covering Android devices, laptops, portable projectors, VR headsets, software, and AI recorders for Android Police and Talk Android. She has five years' experience ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...