The RondoDox botnet has been observed exploiting the critical React2Shell flaw (CVE-2025-55182) to infect vulnerable Next.js ...

While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT teams to build context ingestion processes for agentic AI. Organizations ...

Context modeling or multi-level feature fusion methods have been proved to be effective in improving semantic segmentation performance. However, they are not specialized to deal with the problems of ...

What happens when the very thing designed to make AI smarter—more context—starts to work against it? Large Language Models (LLMs), celebrated for their ability to process vast amounts of text, face a ...

What if the key to unlocking the full potential of artificial intelligence lies not in the models themselves, but in how we frame the information they process? Imagine trying to summarize a dense, 500 ...

Like many image and video AI tools, which have (mostly) stopped creating people with six fingers, AI coding tools have also been making great strides. Case in point: developer Indragie Karunaratne ...

The AI revolution began with a simple realization: the way you ask matters. Engineers and users alike discovered that carefully crafted prompts could unlock remarkable capabilities in language models, ...

Introduction: What is Context Engineering? Context engineering refers to the discipline of designing, organizing, and manipulating the context that is fed into large language models (LLMs) to optimize ...

Context, a startup building an AI-powered office suite, on Wednesday announced that it raised $11 million in a seed round led by Lux Capital with participation from Qualcomm Ventures and General ...

Anthropic today released a new open source protocol to let all AI systems, not just its own, connect with data sources via a standard interface. Model Context Protocol (MCP), the company said in its ...