Authors: Mathias Thorsager, Israel Leyva-Mayorga, Beatriz Soret, Petar Popovski

Published on: December 08, 2023

Impact Score: 8.22

Arxiv code: Arxiv:2312.05398

Summary

• What is new: Introduction of a generative network layer using Generative AI to improve network efficiency.
• Why this is important: Traditional network layers need high data rates for transferring packet replicas from source to destination.
• What the research proposes: Implementing Generative AI at network nodes to generate content like images from compressed prompts, reducing the amount of data that needs to be transmitted.
• Results: More than 100% improvement in the required data rates under image quality constraints.

Technical Details

Technological frameworks used:

Models used: Generative AI

Data used: Latent representations for image prompts

Potential Impact

Telecommunications, Streaming Services, Cloud Computing Providers, and Data Transmission/Networking Companies

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