Shanghai AI Lab researchers find that giving AI richer context—called “context engineering”—can make models smarter without retraining.

AI holds huge potential for physical security, but most systems struggle to read real-world intent. Join us to explore how next-generation models can move beyond ...

When Anthropic open-sourced the Model Context Protocol (MCP) in late 2024 ... Before then, connecting large language models ...

Administrative UI, IDE and diagram-first workflows each solve a different problem—and knowing those boundaries prevents ...

By Dr David ALEMZERODigital identity is conceptualized as an assemblage of electronic characteristics that distinctly ...

Clear visuals can make complicated ideas easier to understand, and Microsoft Visio Professional 2024 is designed to help you create them. Right now, you can get a lifetime license for Windows for ...

In 2011 at the U.S. bishops' Office of Child and Youth Protection, photos and prayers for the victims of clergy sexual abuse. Credit: CNS/Nancy Wiechec Effective protection of minors and adults in the ...

When I first started experimenting with voice AI agents for real-world tasks like restaurant reservations and customer service calls, I quickly ran into a fundamental problem. My initial monolithic ...

A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...