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

The U.S. homeland is out of range of military strikes, but state and local governments could see cyber attacks, cloud service disruptions and rising supply costs.

Discover CoPaw, the open-source personal AI assistant from Alibaba's AgentScope team. Learn how its ReMe memory system, local ...

First of four parts Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections ...

New platform enables business teams to build native iOS, Android, and web apps behind the corporate firewall — ...

AI can help hiring teams handle volume, but AI bias in hiring algorithms can quietly block careers when proxies and past patterns go unchecked ...

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.

Why waste space on features you don't use anyway?

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.

How I used CloneZilla to fully back up my PC in case disaster strikes (and it's free) ...

The QuitGPT movement has passed 2.5 million pledges. Before you delete ChatGPT, here is every step to take so your data doesn't stay behind.

MongoDB (MDB) stock drops 20% after mixed FY2027 guidance despite strong earnings, Atlas growth and customer adds.