arXiv ·
Researchers have developed a CNN-based deep learning model for predicting coastal flooding in cities under various sea-level rise scenarios. The model utilizes a vision-based, low-resource DL framework and is trained on datasets from Abu Dhabi and San Francisco. Results show a 20% reduction in mean absolute error compared to existing methods, demonstrating potential for scalable coastal flood management.
MBZUAI ·
MBZUAI and the UNDP have partnered to advance the use of AI for sustainable development, with MBZUAI becoming the founding knowledge partner for the UNDP’s AI for Sustainable Development Platform (AI4SDP). The partnership, formalized at the World Governments Summit 2024, will focus on environmental resilience, water resources management, climate adaptation, social cohesion, and reducing inequalities. MBZUAI will contribute climate research, use cases, and scenarios to the AI4SDP for implementation in the real world. Why it matters: This collaboration signifies a commitment to leveraging AI for addressing critical global challenges and sustainable development goals in the Arab region.
KAUST ·
KAUST and Leica Microsystems have renewed their partnership for the KAUST-Leica Center of Excellence for Optical Microscopy. The partnership has supported studies such as 3D-printed microneedles and climate adaptation in date palms, utilizing Leica's LIGHTNING technology. The Center of Excellence also hosts joint technological forums and outreach activities to develop local and regional expertise. Why it matters: The renewal strengthens KAUST's research and education in optical microscopy, fostering collaboration within Saudi Arabia and the broader region to build advanced expertise in this field.