Abstract: This talk will review the evolving landscape of generative AI within the open-source world, we will explore the unique opportunities that open-source AI offers, such as customization, and community-driven innovation. We will also address critical challenges, including the sustainability of open-source models, data limitations and the complexity of scaling within the energy wall. By examining both the hurdles and potential pathways forward, we aim to shed light on how open-source AI can drive transformative progress while navigating its inherent obstacles.

Bio: Mérouane Debbah is Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, an AIIA Fellow and a Membre émérite SEE