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

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

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.

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.

Wedding dress codes should be clearly stated to inform guests of how to choose their wardrobe for your celebration. More formal dress codes come with certain requirements—like dark jackets and long ...

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

Google has released a minor version update to the API, version 23.1. This update has changes to account management, campaigns ...

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 ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...