In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...

Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...

Enterprises are obsessing over model accuracy while ignoring the infrastructure layer where AI systems actually break.

The twelve foundational practices for decision makers describe the groundwork for turning AI capability into mission value.

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial ...

Stanford research finds single-agent AI matches or outperforms multi-agent systems under equal compute budgets — with lower ...

The artificial intelligence race is accelerating. OpenAI launched GPT-5.5 this week, while the White ...

Researchers engineered a panel of drug-resistant NSCLC models using CRISPR gene editing and gene overexpression techniques.

AI in China is not simply a high-growth technology theme, but a strategic capability tied to national competitiveness, ...

Introduction As enterprise demand for digital transformation continues to expand, the evaluation of engineering service ...