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

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

New NASA-level software framework reproduces DUT vs ΛCDM results, resolving Hubble and growth tensions with Δχ² = ...

Excel automations cover auto-updating charts, deadline flags, and smart links; Ctrl+T table charts expand as new rows appear.

Someone spent a couple of hours with the AI-generated vibe-coded operating system Vib-OS, and it's about as bad as you'd expect, probably worse.

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

AI in architecture is moving from experimentation to implementation. An AJ webinar supported by CMap explored how practices are applying these tools to live projects, construction delivery and operati ...

Many enterprise RAG pipelines handle one type of search well and fail silently on the rest. Databricks on March 4 released a new agent called KARL, or Knowledge Agents via Reinforcement Learning, that ...

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 ...

In our last post, we compared India's new sovereign AI, Indus by Savam, with the behemoth ChatGPT. And to our surprise, the ...

Stop using AI as a search engine. Here are 6 real AI workflows that save hours every week in 2026 — for writers, developers, researchers, and business professionals.

Matt Parker is a best-selling author and stand-up performer, who has built a reputation for being a wizz at mathes.  As part ...