True or chatty: pick one. A new training method lets users tell AI chatbots exactly how 'factual' to be, turning accuracy into a dial you can crank up or down. A new research collaboration between the ...

Discover the top 10 AI red teaming tools of 2026 and learn how they help safeguard your AI systems from vulnerabilities.

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Our team at the UK Dementia Research Institute’s Biomarker Factory at UCL are part of the global effort working to develop ...

On HMMT Feb 25, a rigorous reasoning benchmark, Qwen3-Max-Thinking scored 98.0, edging out Gemini 3 Pro (97.5) and ...

150 years of science shows this brain hack can radically improve your memory. Entrepreneurs and anyone else who needs to learn things fast should take note. This is a column about a helpful trick that ...

Despite the growing recognition of the need for specialized training in emergency language skills, educational frameworks in which disaster scenarios are integrated into language pedagogy remain ...

Recent breakthroughs in large language models (LLMs) on complex reasoning tasks have been largely driven by Test-Time Scaling (TTS) — a paradigm that enhances reasoning by intensifying inference-time ...

Researchers at the Technical University of Munich (TUM) have developed a method for diagnosing urinary tract infections that significantly accelerates antibiotic resistance testing in urine. Because ...

Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier ‘random’ answer has nothing to do with ...

Say what? Yes, Airbnb is testing adding a "What" box to the search interface atop its homepage. If it works, then over the next few years it may transform the way people look for a place to stay.

Abstract: Large Language Models (LLMs) can generate plausible test code. Intuitively they generate this by imitating tests seen in their training data, rather than reasoning about execution semantics.