Abstract: Federated Learning is a distributed machine learning paradigm that enables model training across decentralized devices holding local data, thereby preserving data privacy and reducing the ...

In this tutorial, we’ll build an end‑to‑end ticketing assistant powered by Agentic AI using the PydanticAI library. We’ll define our data rules with Pydantic v2 models, store tickets in an in‑memory ...

LLMs enable interactions with external tools and data sources, such as weather APIs or calculators, through function calls, unlocking diverse applications like autonomous AI agents and neurosymbolic ...

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...

Abstract: This article addresses the problem of finite-time asynchronous switching control for fuzzy Markov jump systems (FMJSs) using polynomial membership functions. Firstly, a Lyapunov-Krasovskii ...

Understanding asynchronous programming is akin to unlocking a powerful toolset for building efficient and responsive web applications. Asynchronous programming is essential to modern JavaScript ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Developers use JavaScript promises to model asynchronous operations in web and server-side programs. Here's a quick look at five ways to use promises in your code ...