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'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.
MBZUAI hosted the third edition of its Mailis program, focusing on AI's role in redefining the workplace and strengthening the UAE’s innovation ecosystem. The session brought together entrepreneurs, policymakers, and innovators from Abu Dhabi’s government, business, and startup sectors to discuss AI integration. Leaders from organizations like Khalifa Fund and Hub71 shared updates on AI initiatives, while MBZUAI showcased AI tools that can act as a co-founder. Why it matters: This event highlights the UAE's commitment to fostering AI adoption and collaboration across sectors, positioning the country as a leader in responsible AI innovation.
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.
A delegation of senior officials from Singapore, including Minister Mohamed Maliki Bin Osman and Ambassador Kamal R. Vaswani, visited MBZUAI. They were hosted by MBZUAI's VP of Corporate Services Ian Matthews, Director of Outreach and Engagement Dr. Hosni Ghedira, and Director of Special Projects, Yun Xu. The visit involved discussions about MBZUAI's achievements and potential future collaborations. Why it matters: This signals growing international interest in MBZUAI and opportunities for partnerships in AI research and education between the UAE and Singapore.
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.