Finding the right talent in the tech industry is rarely a simple task, but sourcing high-quality Node.js developers can feel ...

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 ...

Why it matters: JavaScript was officially unveiled in 1995 and now powers the overwhelming majority of the modern web, as well as countless server and desktop projects. The language is one of the core ...

Abstract: This paper tackles the challenge of resource allocation in large-scale datacenter networks (DCNs) using integer programming. The complexity of integer resource allocation problems (IRAP) ...

Thinking about learning Python? Google has a course for that, and it’s pretty popular. It’s a good way to get started with programming or to brush up on your skills. We’ll walk through what the google ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

What if you could build a conversational AI agent that not only answers complex questions but also integrates seamlessly with external tools, streams real-time responses, and delivers structured ...

Maintaining academic integrity in the age of generative AI is a headache for all professors. But those who teach large-enrollment and asynchronous courses are in a particularly challenging spot. If ...

JavaScript tools and frameworks thrive and evolve in an ecosystem that is equal parts competitive and collaborative. This month, we showcase some of the best examples of technology innovation in ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...