We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

Companies should apply a step-by-step portfolio management approach when it comes to AI. They should view the connected ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Cuts in sulfur emissions from oceangoing vessels have been tied to a reduction in lightning stroke density along heavily ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – ...

I tried four vibe-coding tools, including Cursor and Replit, with no coding background. Here's what worked (and what didn't).

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Excel has native regex support, and it works exactly how you'd expect.

From Power Query to the Data Model, here are the five architectural gaps that keep me paying for Microsoft 365.