Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Ten AI concepts to know in 2026, including LLM tokens, context windows, agents, RAG, and MCP, for building reliable AI apps.

Learn how RAG grounds AI in plant knowledge while MCP enables safe execution to transform industrial AI recommendations into ...

Students using AI to cheat on homework or tests is a source of much discussion. But some scholars argue the greater risk of students using AI is that they will simply not learn. Approximately 90% of 1 ...

Talk about AI today, and you’ll hear two stories. One says this is the future of everything. The other says it’s a bubble that’s about to pop. The truth is closer to a video game: We’re still in the ...

RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...

AI-savvy graduates aren’t just future-proofing their careers—they’re landing some of the highest starting salaries in tech Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over ...

Fluence Energy's industrial-scale battery systems deliver the clean, stable power that AI data centers require. Credo Technology's high-speed copper cables match fiber-optic performance at a fraction ...

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...