<p>A collaborative research team from Yonsei University, Deakin University, and the University of Oulu has developed a groundbreaking framework called Language-Oriented Semantic Communication (LSC). LSC enhances machine-to-machine communication by integrating three innovative algorithms: Semantic Source Coding (SSC), which compresses text messages while retaining essential context; Semantic Channel Coding (SCC), which adds redundancy to messages for robustness in noisy environments; and Semantic Knowledge Distillation (SKD), which tailors messages according to the receiver’s language style without retraining neural network models.</p>
<p>Read the full story — <a target="_blank" href="https://news.superagi.com/2023/09/21/researchers-unveil-revolutionary-lsc-framework-for-optimized-machine-to-machine-communication/">https://news.superagi.com/2023/09/21/researchers-unveil-revolutionary-lsc-framework-for-optimized-machine-to-machine-communication/</a></p>


A collaborative research team from Yonsei University, Deakin University, and the University of Oulu has developed a groundbreaking framework called Language-Oriented Semantic Communication (LSC). LSC enhances machine-to-machine communication by integrating three innovative algorithms: Semantic Source Coding (SSC), which compresses text messages while retaining essential context; Semantic Channel Coding (SCC), which adds redundancy to messages for robustness in noisy environments; and Semantic Knowledge Distillation (SKD), which tailors messages according to the receiver’s language style without retraining neural network models.

Read the full story — [https://news.superagi.com/2023/09/21/researchers-unveil-revolutionary-lsc-framework-for-optimized-machine-to-machine-communication/](https://news.superagi.com/2023/09/21/researchers-unveil-revolutionary-lsc-framework-for-optimized-machine-to-machine-communication/)

Researchers Unveil Revolutionary LSC Framework for Optimized Machine-to-Machine Communication