An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Obtaining a geocoding api key marks the starting point for any location-based feature development. The process should be simple, but varies dramatically ...

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

Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.

Remote work is no longer a pandemic experiment. It is now a permanent part of how the global job market operates. There are now three times more remote jobs available in 2026 than back in 2020 in the ...

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.

Abstract: Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrievalaugmented ...

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...

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

Transform your code files into organized, navigable documents with a table of contents-like structure. Create sections using simple comments, then use VS Code's built-in Outline panel to view and ...

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 ...