The General Authority of Islamic Affairs and Endowments (Awqaf) in the UAE will train over 5,000 employees in artificial intelligence. The training aims to enhance their skills and knowledge in line with the UAE's AI strategy. The program will cover various aspects of AI and its applications in the authority's operations. Why it matters: This initiative reflects the UAE's commitment to integrating AI across government sectors to improve efficiency and innovation.
The Abu Dhabi Music & Arts Foundation (ADMAF) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed a Memorandum of Understanding (MoU) to co-curate a program involving international professors, artists, and scientists. The collaboration will focus on STEAM projects, artist residencies, and publishing research papers. The partnership was announced in conjunction with the Riwaq Al Fikr talk exploring AI's implications for the music and creative industries. Why it matters: This MoU signifies a growing trend of integrating AI with arts and culture in the UAE, potentially fostering innovation and new forms of artistic expression.
KAUST and Aeon Collective signed an MoU on October 25, 2022, to advance sustainability projects in Saudi Arabia and internationally. Aeon Collective is a Waqf focused on sustainability, while KAUST is a research university addressing global sustainability challenges. The MoU aims to strengthen cooperation in sustainability education, research communication, capacity building, and youth engagement in support of Vision 2030 and the UN SDGs. Why it matters: This partnership will combine KAUST's research expertise with Aeon Collective's outreach capabilities to promote sustainability initiatives and education in alignment with Saudi Arabia's Vision 2030.
A proposed recognition system aims to identify missing persons, deceased individuals, and lost objects during the Hajj and Umrah pilgrimages in Saudi Arabia. The system intends to leverage facial recognition and object identification to manage the large crowds expected in the coming decade, estimated to reach 20 million pilgrims. It will be integrated into the CrowdSensing system for crowd estimation, management, and safety.
This paper proposes a smart dome system for mosques that uses machine learning to automatically control dome ventilation based on weather conditions and outside temperatures. The system was tested on the Prophet Mosque in Saudi Arabia using K-Nearest Neighbors and Decision Tree algorithms. The Decision Tree algorithm achieved a higher accuracy of 98% compared to 95% for the k-NN algorithm.
The provided content mentions KAUST (King Abdullah University of Science and Technology) and its association with King Abdullah bin Abdulaziz Al Saud. It also includes a copyright notice. Why it matters: This is a routine update reflecting KAUST's branding and legal information.
KAUST Professor Mohamed Eddaoudi is researching MOFs (metal-organic frameworks). MOFs have applications for clean energy. Why it matters: This research contributes to KAUST's and Saudi Arabia's broader clean energy and sustainability initiatives.
KAUST has launched the KAUST Challenge: Ideas and Solutions for Hajj & Umrah 2020, in partnership with The Makkah Cultural Forum. The challenge aims to catalyze research, innovation, and economic development in Saudi Arabia. The KAUST Challenge will award 1 million SAR in cash and other prizes for ideas to improve the Hajj and Umrah experience and advance efforts to make Makkah a smart city. Why it matters: This initiative connects AI innovation directly to Saudi Arabia's Vision 2030 and the specific needs of religious tourism, a unique application area.