KAUST researchers participated in COP28 in Dubai, showcasing environmental research from sustainable construction to coral restoration. Professor William Roberts presented cryogenic carbon capture, while Professor Hussein Hoteit demonstrated carbon dioxide removal and underground hydrogen storage. A KAUST spinout, ClimateCrete™, launched technology to make local sand suitable for concrete, reducing carbon emissions by up to 60%. Why it matters: KAUST's presence at COP28 highlights the institution's role in driving regional climate solutions and fostering public-private partnerships for environmental sustainability.
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.
A KAUST-led multidisciplinary research team is studying the feasibility of storing CO2 in subsurface rock structures in Saudi Arabia, specifically in Harrat near Madinah. The project, conducted under the auspices of the Saudi Ministry of Economy and Planning, involves researchers from KAUST, King Abdulaziz University, and MEP. The team is investigating carbon capture and storage as a means to address climate change and meet Saudi Vision 2030 goals. Why it matters: This research could provide a pathway for Saudi Arabia to reduce CO2 emissions and contribute to global climate change mitigation efforts, aligning with the Kingdom's commitment to the Paris Climate Agreement.
MBZUAI is developing the AI Operating System (AIOS) to reduce the energy, time, and talent costs of AI computing. AIOS aims to make AI models smaller, faster, and more efficient, reducing reliance on expensive hardware and speeding up compute operations. It also enables cost-aware model tuning and standardizes AI modules for reliable operation. Why it matters: By addressing the environmental impact and resource demands of AI, AIOS could promote more sustainable and accessible AI development in the region and globally.
The paper proposes a method for causal inference using satellite image time series to determine the impact of interventions on climate change, focusing on quantifying deforestation due to human causes. The method uses computer vision and deep learning to detect forest tree coverage levels over time and Bayesian structural causal models to estimate counterfactuals. The framework is applied to analyze deforestation levels before and after the hyperinflation event in Brazil in the Amazon rainforest region.
Extreme E racing series is collaborating with KAUST and the Ba'a Foundation to conserve endangered turtles in Saudi Arabia. Rising sea levels have led to a 90% mortality rate of turtle eggs in 2019, threatening the already endangered species. The collaboration aims to protect turtle nesting sites along the Red Sea coastline. Why it matters: This initiative highlights the potential for partnerships between sports, academia, and conservation organizations to address climate change impacts on vulnerable ecosystems in the region.
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.