Joonhyuk Kang from KAIST gave a presentation at MBZUAI on AI's impact on wireless communication. The talk covered how communication systems can improve AI and how AI can develop wireless systems. Kang's research interests include signal processing for information transmission, security, and machine cognition. Why it matters: This talk highlights the growing intersection of AI and communication technologies in the region, with potential applications for smart cities and autonomous systems.
The Autonomous Robotics Research Center (ARRC) is developing underwater communication systems, including a multimode modem prototype, and has filed three patents. One key technology is the Universal Underwater Software Defined Modem (UniSDM), which supports sound, magnetic induction, light, and radio waves. ARRC also developed a network management framework for automatic network slicing (ANS) of communication resources. Why it matters: These advancements are crucial for improving underwater exploration, industrial maintenance, and marine monitoring in the region, enabling more efficient and reliable communication for underwater robots.
KAUST and EPFL Blue Brain Project researchers propose a new theory about a 'secret language' used by cells for internal communication regarding the external world. Using a computational model, they suggest that metabolic pathways can code details about neuromodulators that stimulate energy consumption. The model focuses on astrocytes and their cooperation with neurons in fueling the brain. Why it matters: This suggests a new avenue for understanding information processing in the brain and how cells contribute to the energy efficiency of brains compared to computers.
KAUST, in collaboration with KSU and KFUPM, is working on a project initiated by the Saudi Communications, Space & Technology Commission (CST) to expand mobile communication coverage in remote areas of the Kingdom. The study explores utilizing the sub-700 MHz ultrahigh frequency (UHF) band, potentially reassigning it from television broadcast to mobile telecommunication networks. This band's long wavelength radio waves can travel further and penetrate obstacles more easily, reducing network infrastructure costs. Why it matters: This initiative could bridge the digital divide in Saudi Arabia by providing affordable mobile connectivity to underserved communities.
Michael Hickner, an Associate Professor from Penn State University, visited KAUST as part of the CRDF-KAUST-OSR Visiting Scholar Fellowship Program. Hickner specializes in Materials Science and Engineering, Chemistry, and Chemical Engineering. The visit was documented with photos by Meres J. Weche. Why it matters: Such programs foster international collaboration and knowledge exchange in science and engineering between KAUST and other leading institutions.
KAUST Ph.D. student Qurrat-Ul-Ain Nadeem received a 2018 Marconi Society Paul Baran Young Scholar Award for her work in full-dimension (FD) massive multiple input multiple output (MIMO) transmission technology. Nadeem's research could more than double the average throughput performance of existing wireless communication systems through 3D beamforming. Her work establishes a link between the industry's vision for FD-MIMO and the theoretical study of 3-D beamforming. Why it matters: This award recognizes young researchers in Saudi Arabia and highlights KAUST's role in promoting science and technology in the region, especially for women in STEM.
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.
Researchers from MBZUAI, Carnegie Mellon University, and Meta AI presented a new approach called ThoughtComm at NeurIPS 2025 where AI agents communicate through internal, latent representations instead of natural language. This framework extracts and selectively shares latent "thoughts" from agents' internal states, representing the underlying structure of their reasoning. Results show that agents coordinate more effectively, reach consensus faster, and solve problems more accurately using this method. Why it matters: Bypassing the limitations of natural language in AI communication could lead to more efficient and accurate multi-agent systems, impacting areas like robotics, collaborative AI, and distributed problem-solving.