Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that's messy, hard to change safely, and often opaque about what's really ...

Oh my God, OK, it’s happening! From social-media posters to the F.C.C. chair, we are all living in Michael Scott’s world.

The no-code movement lets anyone build software without coding. Learn how no-code tools in 2025 enable fast, cost-effective, ...

Five Sedona middle-schoolers gathered around a table after school on Monday, Oct. 20, to figure out the best way to use their cannon. Or at least, how they could mount it to their robot. The students’ ...

Anthropic's research shows that large language models build internal maps resembling biological perception used by humans.

Automatic translators can facilitate migration from C to Rust, but existing translators generate unsatisfactory code by relying on language features whose safety is not validated by the compiler and ...

Mojo combines Python simplicity with the speed of C and Rust for AI tasks. Integrated AI optimizations make training and deployment faster and more efficient. A growing community and libraries support ...

Abstract: Large language models have recently become known for their ability to generate computer programs, especially through tools, such as GitHub Copilot, a domain where genetic programming (GP) ...

Code::Blocks and Dev-C++ remain reliable options for beginners due to simplicity and ease of setup The best IDE depends on project type, coding style, and the developer's needs for speed and ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

So, you want to learn how to code in 2025? That’s awesome! Picking your very first programming language can feel like a puzzle though, right? There are so many options out there, and everyone seems to ...