Here are 12 AI prompt templates professionals can use to write, plan, debug, analyze data, and get more useful output from AI tools.

Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

An individual claiming to be Mark Pilgrim, the original creator of the library, opened an issue in the project's GitHub repo ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

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

Many in the chemical process industries (CPI) view generative artificial intelligence (genAI) as a powerful augmentation ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Armatrix is raising INR 18.43 crore (about $2.1M) led by pi Ventures to develop snake-like robotic arms for hazardous industrial inspections.

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows ...

The rush to put out autonomous agents without thinking too hard about the potential downside is entirely consistent with technology industry norms. The sociologist Diane Vaughan refers to this as the ...