Context helps AI interpret information instead of just processing it. When systems can connect data, history and intent, they ...

A research team at Kumamoto University (Japan) has unveiled a new mathematical framework that makes it possible to accurately model systems using multiple sensors that operate at different sensing ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation.

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI ...

Photo: Jeremiah Hull Photography, courtesy WSP Of the 100+ engineering and engineering/architecture firms that participated ...

For the first time, the 40%+ of companies that earn revenue from data can safely show buyers and AI systems an interactive, AI-ready version of their datasets without sharing raw data or requiring ...

The new framework from Tongyi Lab enables agents to create their own training data by exploring and interacting with new ...

Handle agent tasks with confidence. Opus 4.5 beats human benchmarks on intensive engineering and is available across major ...

A few years ago, data centers seemed like something purely technical and invisible - infrastructure hidden deep in the ...

This startup has developed an AI copilot for mechanical engineers. At the heart of the innovation is a Large Mechanical Model ...