The United Nations has appointed Omar Sultan Al Olama, the UAE's Minister of State for Artificial Intelligence, Digital Economy, and Remote Work Applications, to its new High-Level AI Advisory Body. This body, composed of 39 global experts, is tasked with supporting international efforts to govern artificial intelligence and bridge AI divides. Its mandate includes fostering collaboration on AI development and ensuring its responsible use worldwide. Why it matters: This appointment underscores the UAE's increasing influence in global AI governance and its commitment to shaping international AI frameworks and standards.
Researchers from KAUST, King Faisal Specialist Hospital, and collaborators have developed a new method to predict cardiometabolic disease risk in underrepresented ethnic populations using genetic information and public databases. The study focused on Arab communities and created a framework to determine polygenic scores for more accurate heart disease prediction. The framework was validated using records of over 5,000 Arab patients, demonstrating that genetic risk complements conventional risk factors. Why it matters: This research addresses a critical gap in genomic data for non-European populations, potentially leading to more effective and personalized healthcare strategies in the Arab world and beyond.
Ceer and KAUST are partnering to research and develop innovations in smart mobility, including connectivity and autonomous driving technologies. The collaboration aims to transform research into economically productive innovations, supporting Saudi-based SMEs and the automotive manufacturing industry. Ceer and KAUST will share facilities and conduct collaborative activities to foster knowledge exchange and create jobs. Why it matters: This partnership signifies a crucial step towards diversifying Saudi Arabia's economy and advancing technological capabilities in the electric vehicle sector within the Kingdom.
This paper introduces a predictive analysis of Arabic court decisions, utilizing 10,813 real commercial court cases. The study evaluates LLaMA-7b, JAIS-13b, and GPT3.5-turbo models under zero-shot, one-shot, and fine-tuned training paradigms, also experimenting with summarization and translation. GPT-3.5 models significantly outperformed others, exceeding JAIS model performance by 50%, while also demonstrating the unreliability of most automated metrics. Why it matters: This research bridges computational linguistics and Arabic legal analytics, offering insights for enhancing judicial processes and legal strategies in the Arabic-speaking world.
KAUST, AEON Collective, and KAPSARC released a report during MENA Climate Week assessing climate change impacts in Saudi Arabia under a 3°C warming scenario. The report finds that Saudi Arabia is experiencing climate change at an accelerated pace, with potential temperature increases of up to 5.6°C by the end of the century. It highlights the need for policy choices and adaptation strategies to mitigate impacts on ecosystems, urban environments, and human health. Why it matters: This comprehensive analysis provides critical insights for Saudi Arabia to inform its climate policies and adaptation efforts, addressing challenges like coral bleaching, desert expansion, and increased health risks.