The acquisition of the radio frequency signal from the Artemis II crewed mission to the moon by NASA's Deep Space Network (DSN) is indicated by the peak in the data signal shown on the top computer ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...

Those who design AI persuasion systems understand exactly how they work, while those affected by them remain largely unaware.

Abstract: This paper presents an end-to-end deep learning framework in a movable antenna (MA)-enabled multiuser communication system. In contrast to the conventional works assuming perfect channel ...

Engineering education faces a persistent tension: students eager to build real projects often view theoretical coursework as obstacle rather than foundation. However, institutions rushing students ...

In this tutorial, we build an advanced multi-agent communication system using a structured message bus architecture powered by LangGraph and Pydantic. We define a strict ACP-style message schema that ...

This paper examines the emerging paradigm of symbiotic communication systems between humans and artificial intelligence, focusing on the co-evolutionary patterns that are reshaping traditional ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.