Semantic communication paradigms, driven by artificial intelligence (AI), have the potential to shape next-generation communication systems. These reasoning-centric paradigms involve understanding the intrinsic characteristics of data to transmit only essential information relevant to the communication's intended purpose. Instead of transmitting data streams between traditional radio nodes, conveying semantic information among intelligent network nodes is argued to be a groundbreaking advancement beyond Shannon's theory. The resulting goal-oriented communication frameworks promise to surpass the theoretical bit-rate capacity limits in conventional communication systems, primarily due to improved data compression and greater resilience to errors.
In response to the timeliness and importance of this topic, the
Department of Electrical and Computer Engineering at
MSFEA and the
Artificial Intelligence, Data Science, and Computing Hub at
AUB are organizing a workshop on AI for communications and semantic communications. The symposium will feature a series of technical talks by leading researchers in the fields of information and communication theory and AI.
Join us in the
Engineering Lecture Hall (ELH) this Friday, April 26th, to explore how goal/task-oriented semantic communications will shape the 6G era. Lunch will be provided. Be sure to register through the following link.