Abstract: Existing works on multi-agent time-varying optimization allow agents to asynchronously communicate and/or compute, but do not allow asynchronous sampling of objectives. Sampling can be ...

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 ...

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 ...

A native, synchronous PostgreSQL client. The test suite requires postgres to be running in the correct configuration. The easiest way to do this is with docker ...

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 ...

The race to deploy AI agents is heating up. At its annual I/O developer conference yesterday, Google announced that Jules, its new AI coding assistant, is now available worldwide in public beta. The ...

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 ...

From syntax and features every JavaScript developer needs to higher-level concepts you shouldn't miss, here are eight ways to make the most of JavaScript. JavaScript is an incredibly durable, ...

Two years ago, when visiting research colleagues in Uppsala, Sweden, we were asked a deceptively simple question: “What does it mean to program?” For context, one of us had just completed academic ...

You may have noticed that the phrase “Let’s take that offline” is gradually being replaced by “Let’s connect async.” Both expressions are a type of white flag, surrendering to the reality that a ...