The AI and Digital Science Research Center (AIDRC) at TII collaborated with Greenerwave to conduct the first end-to-end 6G Reflective Intelligent Surface (RIS) multi-reflector trial at 27 GHz, using multiple RIS units for seamless HD video streaming. This initiative leverages multiple RIS units, aiming to foster new generation networks, as RIS is a key enabler of 6G. Greenerwave's technology enables full control of the impinging EM wave and reflects it in the right direction. Why it matters: The trial strategically positions the UAE as a leader in 6G technology development in the region and strengthens its advanced technology landscape.
KAUST researchers are exploring thin-film device technologies using materials like printable organics and metal oxides for a greener Internet of Things (IoT). They propose wirelessly powered sensor nodes using energy harvesters to reduce reliance on batteries, which are costly and environmentally harmful. Large-area electronics, printed on flexible substrates, offer a more eco-friendly alternative to silicon-based technologies due to solution-based processing and lower production temperatures. Why it matters: This research contributes to a more sustainable and environmentally friendly IoT ecosystem, aligning with global efforts to reduce electronic waste and energy consumption.
KAUST researchers propose using tethered unmanned aerial vehicles (TUAVs) with cellphone antennas to address public concerns about EMF exposure from mobile networks. The TUAVs would receive signals, reducing users' uplink exposure and employing low power 'green antennas' that do not radiate EMF. A network of ground stations would provide power and broadband data links to the TUAVs. Why it matters: The system could allow the development of 6G mobile systems to continue while decreasing EMF exposure, and the team has already applied for a U.S. patent for their proposal, indicating significant commercial potential.
A recent talk at MBZUAI discussed "Green Learning" and Operational Neural Networks (ONNs) as efficient alternatives to CNNs. ONNs use "nodal" and "pool" operators and "generative neurons" to expand neuron learning capacity. Moncef Gabbouj from Tampere University presented Self-Organized ONNs (Self-ONNs) and their signal processing applications. Why it matters: Exploring more efficient AI models is crucial for sustainable development of AI in the region, as it addresses computational resource constraints and promotes broader accessibility.
A KAUST-led team developed a superabsorbent polyacrylate film for passive cooling, combining radiative and evaporative techniques without extra energy. The film uses sodium polyacrylate to absorb moisture and form a reflective film, reducing solar heating. Experiments showed the film lowered temperatures by five degrees Celsius, with simulations indicating a 3.3 percent reduction in total energy consumption. Why it matters: This innovation offers a sustainable alternative to traditional cooling systems, reducing carbon emissions and strain on energy grids in hot climates.
MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.
The Directed Energy Research Center (DERC) in the UAE has partnered with the University of Pisa to develop electronically controlled surfaces for dynamic broadband radio-absorption. This collaboration aims to test new materials and manufacturing processes for flexible radio-absorbing surfaces suited for harsh environments like the UAE. The project seeks to create smart-shields, active electromagnetic frequency selective surfaces, and electromagnetic energy harvesting surfaces. Why it matters: The partnership accelerates innovation in applied electromagnetics and could lead to advancements in telecommunications, energy, and electromagnetic protection in the region.
AIDRC researchers co-authored an accepted IEEE Vehicular Technology Magazine article on time reversal for 6G wireless communications. The article presents experimental results on the spatiotemporal focusing capability of time reversal across carrier frequencies. It examines requirements for efficient time reversal operation and synergies with technologies like reconfigurable intelligent surfaces. Why it matters: The research explores advancements in 6G wireless communication, with potential implications for coverage extension, sensing, and localization capabilities in the region.