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

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

As threats against GPS increase, military forces need the most secure, reliable, and accurate positioning, timing, and synchronization solutions for any environment. M-Code is used in the lab for ...

Stella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical ...

A practical MCP security benchmark for 2026: scoring model, risk map, and a 90-day hardening plan to prevent prompt injection, secret leakage, and permission abuse.