The AI and Digital Science Research Center (AIDRC) at TII collaborated with MBZUAI and Kuwait College of Science and Technology (KCST) on an IEEE Network magazine paper. The paper, titled ‘Realizing the Tactile Internet through Intelligent Zero Touch Network,’ addresses technological advances in Tactile Internet, proposing intelligent solutions at the network edge. It analyzes technical issues and proposes a zero-touch networking approach for applications like haptics and industrial automation. Why it matters: The research provides a key reference for using AI to support Tactile Internet services in the UAE and GCC, crucial for smart cities, healthcare, and automation.
Ang Chen from the University of Michigan presented a talk at MBZUAI on reducing cloud manageability burdens. The talk covered detecting semantic errors before cloud deployment and curating datasets for automated generation of cloud management programs. He introduced the concept of "cloudless computing" to free tenants from cloud management tasks. Why it matters: This research direction could simplify cloud infrastructure management for businesses in the UAE and beyond, allowing them to focus on core activities.
The Zero Carbon Data initiative aims to transform data centers into environmentally friendly and sustainable infrastructures. The initiative focuses on reducing carbon emissions and promoting energy efficiency within data center operations. This involves utilizing renewable energy sources, optimizing cooling systems, and implementing carbon offsetting programs. Why it matters: By promoting sustainable practices, the initiative could help reduce the environmental impact of the rapidly growing data center industry in the Middle East.
KAUST faculty member Marco Canini is researching networked systems, focusing on improving their design, implementation, and operation. His work centers on Software-Defined Advanced Networked and Distributed Systems (SANDS). Canini aims to address challenges related to reliability, performance, security, and energy efficiency in large-scale networked computer systems. Why it matters: This research contributes to the development of more dependable and efficient digital infrastructure in Saudi Arabia, aligning with KAUST's mission to advance science and technology.
A presentation discusses using programmable network devices to reduce communication bottlenecks in distributed deep learning. It explores in-network aggregation and data processing to lower memory needs and increase bandwidth usage. The talk also covers gradient compression and the potential role of programmable NICs. Why it matters: Optimizing distributed deep learning infrastructure is critical for scaling AI model training in resource-constrained environments.
KAUST researchers published a paper in Nature Electronics outlining communications infrastructure enhancements for 6G to provide global internet access and bridge the digital divide. They propose innovations like aerial access networks, intelligent spectrum management, and energy efficiency improvements. In a separate IEEE paper, KAUST and Missouri S&T researchers demonstrate approaches for improving network throughput using UAVs and balloons in areas lacking terrestrial infrastructure. Why it matters: The research addresses the UN's Sustainable Development Goal of universal internet access and aims to bring connectivity to underserved populations, enabling access to essential services and opportunities.
Dr. Zhiqiang Lin from Ohio State University presented the Security-Enhanced Radio Access Network (SE-RAN) project to address cellular network threats using O-RAN. The project includes 5G-Spector, a framework for detecting L3 protocol exploits via MobiFlow and MobieXpert, and 5G-XSec, a framework leveraging deep learning and LLMs for threat analysis at the network edge. Dr. Lin also outlined a vision for AI convergence with cellular security for enhanced threat detection. Why it matters: Enhancing 5G security through AI and open architectures is critical for protecting next-generation mobile networks in the GCC region and globally.
KAUST hosted the "Human-Machine Networks and Intelligent Infrastructures" conference, co-organized by Prof. Jeff Shamma and Asst. Prof. Meriem Laleg. The conference explored the blend of engineered devices and human elements in large-scale systems like smart grids. Keynote speaker Dr. Pramod Khargonekar discussed cyber-physical-social systems and emerging trends. Why it matters: The conference highlights the growing importance of understanding the interplay between AI, infrastructure, and human behavior in the development of smart cities and intelligent systems in the region.