KAUST Professor Mootaz Elnozahy has been elected as a Fellow of the National Academy of Inventors (NAI) in recognition of his 38-year career and 58 patents. His work focuses on energy-efficient computer systems, high-performance computing, and resilience. Elnozahy's early work includes building the world's first energy-efficient computer server, which influenced commercial IBM servers. Why it matters: This recognition highlights the growing importance of sustainability in computing and underscores KAUST's contributions to innovative solutions for energy efficiency in the tech sector.
Reports indicate that Mohamed Salah will leave Liverpool at the end of the season. Details regarding his next club are not specified in the provided content. Salah shared a message for fans, though the content of the message is not detailed here. Why it matters: Salah's departure would be a major shift in the landscape of European football, impacting Liverpool's performance and potentially influencing investment in football within the Middle East if he joins a team in the region.
KAUST computer scientist Mohamed Elhoseiny and his VISION CAIR team developed Creative Walk Adversarial Networks (CWAN) for novel art generation. CWAN learns from existing art styles and deviates using 'random walk deviation' methods. Human evaluators preferred CWAN-generated art compared to other methods like StyleGAN2. Why it matters: The research demonstrates AI's potential as a valuable tool for artists, enabling the creation of unique and meaningful art, and explores more effective emotional language in image captioning.
The provided article discusses Mohamed Salah's potential departure from Liverpool at the end of the football season and his message to fans. This content is unrelated to artificial intelligence, machine learning, or Middle East AI news. Why it matters: This news falls outside the scope of AI research and industry developments in the Middle East.
The authors introduce Nile-Chat, a collection of LLMs (4B, 3x4B-A6B, and 12B) specifically for the Egyptian dialect, capable of understanding and generating text in both Arabic and Latin scripts. A novel language adaptation approach using the Branch-Train-MiX strategy is used to merge script-specialized experts into a single MoE model. Nile-Chat models outperform multilingual and Arabic LLMs like LLaMa, Jais, and ALLaM on newly introduced Egyptian benchmarks, with the 12B model achieving a 14.4% performance gain over Qwen2.5-14B-Instruct on Latin-script benchmarks; all resources are publicly available. Why it matters: This work addresses the overlooked aspect of adapting LLMs to dual-script languages, providing a methodology for creating more inclusive and representative language models in the Arabic-speaking world.
KAUST Professor Mohamed Eddaoudi has won the 2023 Kuwait Prize in chemistry for his work on functional solid-state materials, specifically metal-organic frameworks (MOFs). His research focuses on innovative design strategies for these materials and their applications in gas separations, catalysis, energy storage, and carbon capture. Eddaoudi, a founding faculty member at KAUST since 2009, shares the prize with Prof. Nashaat Nassar from the University of Calgary. Why it matters: The award recognizes KAUST's research excellence and highlights the importance of materials science for energy and environmental sustainability within the Arab world.
Mo Li, an assistant professor of bioscience, is featured in a faculty focus article by KAUST. The article appears on the university's Biological and Environmental Science and Engineering Division page. Why it matters: This highlights KAUST's ongoing efforts to showcase faculty expertise and research areas within the university.