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

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.

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

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

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

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 ...

Awards season is here, and there's no better time to check Netflix to catch up on all the nominees and winners on offer. But that's a bit difficult when the Netflix algorithm keeps pushing the same ...

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

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

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

Vishnu Kannan has accomplished something few teenagers can claim.

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