AI Engineer and Data Engineer who built scalable cloud and Big Data platforms,deployed AI/ML and GenAI solutions,optimized complex data pipelines. The standard way most developers start building multi ...

Abstract: Asynchronous circuits with low power and robustness are revived in emerging applications such as the Internet of Things (IoT) and neuromorphic chips, thanks to clock-less and event-driven ...

Abstract: Modern data storage systems often fetch data from a large number of sources. Although synchronous data transfer is simple as it can use simple scheduling of data delivery, it scales poorly.

A new framework from researchers Alexander and Jacob Roman rejects the complexity of current AI tools, offering a synchronous, type-safe alternative designed for reproducibility and cost-conscious ...

In this tutorial, we demonstrate how to use the UAgents framework to build a lightweight, event-driven AI agent architecture on top of Google’s Gemini API. We’ll start by applying nest_asyncio to ...

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 ...

In the world of web development, where simplicity and ease of use are valued, C++ is probably the last thing that would come to mind, where JavaScript, Python, and Ruby are the preferred choices.

Non-blocking and blocking read/write operations. Cross-platform support for Windows, Linux, macOS, and FreeBSD. Event-driven architecture for handling data events. Support for gevent, eventlet, ...