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

It might come as a shock to some that many open source projects have a "benevolent dictator for life" governance model.

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AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

The days of the company’s “don’t be evil” mantra are long gone. Switching away isn't as hard as you might think.

Discover the best Nano Banana 2 prompts to test Gemini 3.1 Flash Image, from 4K mockups to multilingual text and character consistency.

Over the past few weeks, I’ve received hundreds of messages from professionals across the Caribbean asking the same question: “Why can’t I land a remote job?” I’ve spoken with PhD holders, master’s ...

The Hacker News is the top cybersecurity news platform, delivering real-time updates, threat intelligence, data breach reports, expert analysis, and actionable insights for infosec professionals and ...

A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras.

Remote work has gone from a niche perk to a mainstream lifestyle, and for good reason. Who wouldn’t want to trade a soul-crushing commute for the ability to work in pajamas while your cat judges your ...

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

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...