For our most recent Question of the Week, we asked you about projects you are working on, or have worked on in the past, to ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

Koning Eizenberg and NAC Architecture join forces to design a school that reflects the natural beauty—and vulnerability—of a ...

In 2026, learning management systems are not just “nice-to-have” training portals. They are operational infrastructur ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Add a description, image, and links to the distributed-learning topic page so that developers can more easily learn about it.

Abstract: This paper investigates the problem of distributed resource management in underwater acoustic communication networks (UACNs) involving multiple transmitters and receivers. In this setting, ...

DLRover makes the distributed training of large AI models easy, stable, fast and green. It can automatically train the Deep Learning model on the distributed cluster. It helps model developers to ...

With the aim of bridging the gap between laboratory studies and real-world learning experiences, this research investigated the effects of combining retrieval and distributed practice in primary ...