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 ...

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) ...

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 ...

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 ...

Get started with async in Python Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without the wait. What is NumPy? Faster array and matrix math in ...