Saudi Arabia has launched the SMAI 2 initiative, building upon the original Saudi National Strategy for Data and AI (NSDAI). The new phase aims to accelerate the development of data and AI capabilities within the Kingdom. SMAI 2 will focus on key sectors and strategic priorities to drive economic diversification and societal progress. Why it matters: The initiative signals Saudi Arabia's ongoing commitment to becoming a leader in AI and data-driven innovation.
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.
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.
Agathe Guilloux, a professor in Data Science at Evry Paris Saclay University, presented on machine learning algorithms for precision medicine at MBZUAI. Her talk covered the main challenges of precision medicine and how AI can address them. She also discussed algorithms developed for decision support tools. Why it matters: This highlights MBZUAI's role as a platform for discussing advanced AI applications in healthcare, even when the research is not directly conducted in the GCC.
MBZUAI hosted a webinar by Provost Fakhreddine Karray on "Advances in Operational Artificial Intelligence and Impact on Society." The talk covered AI's origins, advancements with a focus on Operational AI (OAI), and its potential to grow global GDP by 15% as early as 2025. Karray highlighted AI's impact on sectors like healthcare, finance, and transportation, emphasizing its transformative potential and connection to the Fourth Industrial Revolution. Why it matters: This event signals MBZUAI's commitment to disseminating knowledge and fostering discussions on the impact of AI across various sectors, solidifying its role as a thought leader in the region's AI landscape.
The Technology Innovation Institute (TII) is hosting an AI seminar by Kajetan Schweighofer on October 28, 2025, from 11:00 AM to 12:00 PM GST. TII describes itself as a global research center focused on discovery science and transformative technologies. The seminar series is part of TII's efforts to share its developments and research. Why it matters: Such seminars contribute to the growth of the AI ecosystem in the UAE by facilitating knowledge sharing and collaboration.
MBZUAI's Executive Program held a module on AI ethics, safety, and societal impacts, led by Professors Tom Mitchell and Justine Cassell. The session covered machine learning bias, privacy, AI's impact on jobs and education, and the ethical use of AI. Forty-two participants from ministerial leadership and top industry executives are part of the first cohort. Why it matters: This highlights MBZUAI and the UAE's commitment to ethical AI development as part of building a knowledge-based economy.
KAUST's Stochastic Numerics Research Group is developing methods for pricing European options. Their approach, detailed in an upcoming Journal of Computational Finance article, focuses on systematically tuning parameters to achieve accuracy while minimizing computational effort. The goal is to enable automated computation of fair prices for options contracts, similar to how insurance companies determine premiums. Why it matters: This research advances computational finance in the region, potentially improving risk management and investment strategies.