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

SEO rarely has universal answers. From schema to domain age and 404s, context determines what actually impacts rankings and visibility.

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.

See how long-tail Google Search Console queries reveal AI-style prompts, plus a regex trick and ways to turn raw data into tracking insights.

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

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 ...

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

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 ...

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

The FlySilicon Valley startup Eon Systems claims to have successfully uploaded the mind of a fly and placed it inside a ...

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

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