Malaria No More, the Crown Prince Court of Abu Dhabi, and the Reaching the Last Mile program launched the Institute for Malaria and Climate Solutions (IMACS) to combat malaria amidst climate change. Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI) joined as a technical partner, providing research support leveraging AI and data science. The initiative aims to develop and implement AI-driven strategies to address the impact of climate change on malaria transmission. Why it matters: This partnership highlights the UAE's commitment to using AI for global health challenges, particularly in combating climate-sensitive diseases like malaria.
MBZUAI and the University of Chicago are collaborating on a program to train governments in low- and middle-income countries (LMICs) to use AI weather forecasting models. Funded by a grant from the UAE Presidential Court, the program's first cohort includes staff from Bangladesh, Chile, Ethiopia, Kenya, and Nigeria, receiving training in the UAE at MBZUAI and NCM. The program aims to expand to 30 countries, potentially benefiting millions of farmers by improving yields and livelihoods. Why it matters: This initiative democratizes access to advanced weather forecasting, enabling LMICs to leverage AI for climate resilience and agricultural productivity.
Researchers from KAUST trained members of the Moving Windmills non-profit on green energy infrastructure. The training program included hands-on experience for installing solar photovoltaic systems for use in Malawi, such as solar water pumps and rooftop solar on school buildings. Moving Windmills will use this knowledge to coordinate energy projects across Malawi. Why it matters: This initiative highlights KAUST's commitment to supporting sustainable development in Africa by sharing technical expertise and resources.
MBZUAI launched a report titled "AI for the Global South: 12 Critical Research Questions for the Next Decade" at the India AI Impact Summit. The report identifies 12 urgent research priorities related to AI's accessibility and benefits for developing countries. It grew out of MBZUAI’s AI for the Global South (AI4GS) workshop in December 2023, co-organized with IIT Delhi Abu Dhabi and sponsored by Microsoft. Why it matters: The report addresses the underrepresentation of local data, languages, and institutions from the Global South in modern AI systems, aiming to guide AI development towards inclusive and locally grounded systems.
Researchers from MBZUAI, University of British Columbia, and Monash University have created LaMini-LM, a collection of small language models distilled from ChatGPT. LaMini-LM is trained on a dataset of 2.58M instructions and can be deployed on consumer laptops and mobile devices. The smaller models perform almost as well as larger counterparts while addressing security concerns. Why it matters: This work enables the deployment of LLMs in resource-constrained environments and enhances data security by reducing reliance on cloud-based LLMs.
This paper proposes a framework for understanding AI sovereignty as a balance between autonomy and interdependence, considering global data, supply chains, and standards. It introduces a planner's model with policy heuristics for equalizing marginal returns across sovereignty pillars and setting openness. The model is applied to India and the Middle East (Saudi Arabia and UAE), finding that managed interdependence, rather than isolation, is key for AI sovereignty.
Christopher Fabian, co-founder of UNICEF’s Innovation Unit, spoke at KAUST about using data and technology to improve lives. He highlighted how IoT and wearables can connect remote populations in developing countries with their governments. The talk emphasized using data to include unaccounted populations. Why it matters: The discussion reinforces KAUST's commitment to leveraging technology for global development and aligns with Saudi Arabia's broader goals for digital transformation.