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.

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

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

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The NGI Zero Commons Fund provides grants to people who help build the digital commons. Because all projects are free and ...

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

Discover how quantitative analysts, or quants, use advanced mathematical models to predict market trends and identify lucrative investment opportunities.

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

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.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...

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