Next version of Microsoft’s software development platform brings improvements for JIT compilation, WebAssembly, C#, and F#.
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 ...
Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...
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 ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As AI-powered tools spread through ...
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 ...
JavaScript could be the most widely used programming language in the world, but for many developers, its modern version looks very different from what they first learned. With the advent of ECMAScript ...
Abstract: Asynchronous programming in C# plays a crucial role in enhancing the performance and responsiveness of modern applications, especially in contexts involving I/O operations, network ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results