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

Why Passwords Are Still a Developer's Problem in 2026. The case against password-based authentication is well-established in the IAM community, but the practical implications for ...

A biocomputer powered by lab-grown human brain cells has leveled up from Pong to Doom. While nowhere ready to handle the video game shooter’s most challenging levels, researchers at Cortical Labs in ...

S&P 500 concentration risk is surging—top 10 now 41%. See a quant-optimized 15-stock barbell from Strong Buy picks for better ...

GL Communications Inc., a global leader in telecom test and measurement solutions, highlighted the capabilities of its ultra-portable vMobile™, a handheld, ultra-portable solution for automated voice ...

A Dallas Fed report finds AI is boosting wages for experienced workers while entry-level hiring declines, widening the workforce divide.

Le Ky Nam, an eighth-grade student in Hanoi, brought home a bronze medal from the International Artificial Intelligence Olympiad 2026, competing against students from leading technology nations.

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

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.

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 ...

AI recommendations are decided upstream. Understand the 10-gate pipeline, where brands fail, and how small improvements ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...