More than a date on the calendar, 1776 represents a launching point of the qualities that make up American democracy, including but not limited to diversity, innovation, and perseverance. While not ...

With the widespread application of Federated Learning (FL) in distributed data environments, enhancing system communication efficiency while maintaining model performance has become a critical ...

xk6-mqtt is a k6 extension that adds first-class support for the MQTT protocol to your load testing and performance scripts. With this extension, you can connect to MQTT brokers, publish and subscribe ...

JavaScript, being a single-threaded language, needs special mechanisms to handle operations that may take time to complete, such as HTTP requests, file operations, or timers. Historically, this was ...

A major limitation of online reinforcement learning (RL) implementations applied to AI-specific environments (or systems)—most of which run in a simulation-based context - is the difficulty to ...

Abstract: Due to the COVID-19 pandemic, synchronous and asynchronous distance learning has increased, creating uncertainty about learning quality. Our research investigated the effectiveness of online ...

Apex is a strongly typed, object-oriented programming language that allows developers to execute flow and transaction control statements on Salesforce servers in conjunction with API calls. Using ...

In an era when power has become a fundamental design constraint, questions persist about whether asynchronous logic has a role to play. It is a design style said to have significant benefits and yet ...

When we talk about rethinking professional learning, it’s not enough to create a dynamic workshop. We need to start reflecting more systematically on our processes for teacher training, professional ...

Virtual threads introduce an abstraction layer between operating-system processes and application-level concurrency. Said differently, virtual threads can be used to schedule tasks that the Java ...

Collaborative learning has been widely used in both offline and online contexts to support deep learning, and its effectiveness may be adjusted by the size of the collaborative groups. To examine the ...