Ubiquitous intelligence via wireless network-driven LLMs evolution
Abstract
We introduce ubiquitous intelligence as a paradigm where Large Language Models (LLMs) evolve within wireless network-driven ecosystems. Unlike static model deployments, this approach enables scalable and continuous intelligence ascension through coordination between networks and LLMs. Wireless networks support system-orchestrated lifelong learning, while LLMs drive the next-generation network development that is more adaptive and responsive. This co-evolution highlights a shift toward self-improving systems, sustaining capability growth across diverse and resource-constrained environments.
Fields of Study & Subjects
Machine Learning and Algorithms
Speech and dialogue systems
Language and cultural evolution
Publication details
- Journal / source
- npj Wireless Technology
- Publisher
- Springer Science and Business Media LLC
- Volume
- 2
- Issue
- 1
- Publication date
- 2 February 2026
- Language
- EN