May 7, 2024, 4:43 a.m. | Walid Saad, Omar Hashash, Christo Kurisummoottil Thomas, Christina Chaccour, Merouane Debbah, Narayan Mandayam, Zhu Han

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.02336v1 Announce Type: cross
Abstract: Building future wireless systems that support services like digital twins (DTs) is challenging to achieve through advances to conventional technologies like meta-surfaces. While artificial intelligence (AI)-native networks promise to overcome some limitations of wireless technologies, developments still rely on AI tools like neural networks. Such tools struggle to cope with the non-trivial challenges of the network environment and the growing demands of emerging use cases. In this paper, we revisit the concept of AI-native wireless …

abstract advances agi ai tools artificial artificial general intelligence artificial intelligence arxiv beyond building cs.ai cs.it cs.lg digital digital twins future general intelligence journey limitations math.it meta networks neural networks services support systems technologies through tools twins type while wireless

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