Abstract: Achieving semantic interoperability in data spaces is essential for enabling secure, efficient, and scalable data exchange across industries. While data spaces facilitate collaboration by ...

Every generation leaves behind images that shape memory. From temples and portraits to symbols layered with meaning, visuals ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

AI-native air interfaces represent a shift from mathematical models to learned representations at the PHY layer.

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

Forgetting names is a common experience, not a sign of a failing brain, but rather a byproduct of how our brains prioritize meaning over arbitrary labels. This phenomenon is often a retrieval failure, ...

@article{zhang2025unified, title={Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities}, author={Zhang, Xinjie and Guo, Jintao and Zhao, Shanshan and Fu, ...

Abstract: This paper addresses the problem of end-to-end (E2E) design of learning and communication in a task-oriented semantic communication system. In particular, we consider a multi-device ...