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

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

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.

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 ...

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

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 ...

Yes, you can earn over $100K a year without ever stepping foot in a cubicle again.

The FlySilicon Valley startup Eon Systems claims to have successfully uploaded the mind of a fly and placed it inside a simulated environment. The uploaded mind can control a digital body and respond ...

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