April 17, 2024, 4:42 a.m. | Yongming Huang, Xiaohu You, Hang Zhan, Shiwen He, Ningning Fu, Wei Xu

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.10365v1 Announce Type: cross
Abstract: Intelligent communications have played a pivotal role in shaping the evolution of 6G networks. Native artificial intelligence (AI) within green communication systems must meet stringent real-time requirements. To achieve this, deploying lightweight and resource-efficient AI models is necessary. However, as wireless networks generate a multitude of data fields and indicators during operation, only a fraction of them imposes significant impact on the network AI models. Therefore, real-time intelligence of communication systems heavily relies on a …

abstract ai models artificial artificial intelligence arxiv communication communications cs.lg cs.ni data eess.sp evolution generate graph green however intelligence intelligent knowledge knowledge graph methodology networks pivotal real-time requirements role systems type wireless

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-

@ JPMorgan Chase & Co. | Wilmington, DE, United States

Senior ML Engineer (Speech/ASR)

@ ObserveAI | Bengaluru