I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Programming efficient asynchronous systems is challenging because it can often be hard to express the design declaratively, or to defend against interleaving-dependent bugs such as data races and ...

A senior Netflix engineer warns that while traditional coding careers face a brutal reset, the future remains bright for ...

The five-month Executive Programme in Robotics equips learners with a rare blend of managerial perspective and deep technical ...

Developed using Anthropic’s Claude AI model, the new language is intended to provide memory safety without garbage collection ...

I have zero programming skills. But after a few minor setbacks, I was able to build a custom website in no time.

Rust-based inference engines and local runtimes have appeared with the shared goal: running models faster, safer and closer ...

Abstract: Large Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming tasks and ...

Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...

Overview: Small R projects help turn theory into clear and practical data understandingReal-world datasets make learning R ...

Computer History Museum software curator Al Kossow has pulled the contents from a more than half-century-old tape found at the University of… 50-odd years later, the bits still had teeth. Computer ...

Linux and Windows are quietly undergoing one of the biggest rewrites in their history, as artificial intelligence collides ...