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.

A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras. The system analyzes subtle signal changes to create a digital skeleton of ...

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 ...

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

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