Technology Innovation Institute (TII) in Abu Dhabi, in collaboration with LightOn, has launched NOOR, a 10 billion parameter Arabic natural language processing (NLP) model. The model was trained on a large, high-quality cross-domain Arabic dataset including web data, books, poetry, news, and technical information. It enables applications in automated summarization, chatbots, and personalized marketing. Why it matters: NOOR represents a significant advancement in Arabic NLP, potentially enabling more sophisticated AI applications tailored to the Arabic language and regional needs.
TII and LightOn have partnered to build the NOOR Platform for exascale computing, aimed at developing foundation models. The collaboration will leverage LightOn's expertise in large language models, with the first output being the largest Arabic language model to date. The platform will provide high-quality data pipelines and facilitate extreme-scale distributed training and serving. Why it matters: This partnership aims to establish Abu Dhabi as a center of AI excellence and boost the UAE's ambitions in high-tech innovation and NLP research.
KAUST held an open day on December 3, 2015, to celebrate the International Year of Light. The event showcased technological developments in light research, especially photonics and LED-based technologies. Exhibits and demonstrations were provided by researchers from KAUST's CEMSE and PSE divisions, under the direction of Professor Boon Ooi. Why it matters: The event promoted understanding of achievements in light research and its applications in various sectors like communications, medicine, and energy.
Noura Shehab, a KAUST environmental engineering Ph.D. graduate (2014), now works as a material science researcher at RPD Innovations. Her research focuses on microbial electrochemical technologies and sustainable solutions for water scarcity. Shehab led a KAUST team in the Hult Prize in 2013 and is the incoming KAUST Saudi Arabian alumni chapter president. Why it matters: The profile highlights KAUST's role in developing scientific talent and fostering innovation in sustainable technologies relevant to Saudi Arabia.
The paper introduces ORCA, a new public benchmark for evaluating Arabic language understanding. ORCA covers diverse Arabic varieties and includes 60 datasets across seven NLU task clusters. The benchmark was used to compare 18 multilingual and Arabic language models and includes a public leaderboard with a unified evaluation metric. Why it matters: ORCA addresses the lack of a comprehensive Arabic benchmark, enabling better progress measurement for Arabic and multilingual language models.
Four researchers from KAUST attended the 69th Lindau Nobel Laureate Meeting in Germany, which focused on physics. The meeting provided an opportunity for young scientists to interact with 39 Nobel laureates, including Donna Strickland and Gérard Mourou. KAUST attendees included Abderrahmen Trichili, Ibrahim Dursun, Abdullah Almansouri, and Latifah Al Maghrabi, who participated in lectures, talks, and open exchanges. Why it matters: Participation in such events raises KAUST's profile and provides invaluable networking and learning opportunities for its researchers.
This article is a brief faculty profile of Stefaan De Wolf at KAUST. It appears to be part of a standard template on the KAUST website. Why it matters: Such profiles help showcase the expertise and research areas of faculty at KAUST.
Three KAUST students, Mohammed Zidan, Joanna Nasser, and Stephanie Saade, were selected to attend the 65th Lindau Nobel Laureate Meeting in Germany. The meeting will host 65 Nobel Laureates and 650 young researchers in physiology, medicine, physics, and chemistry. The students look forward to the transfer of knowledge and networking opportunities with leading scientists. Why it matters: This recognition highlights KAUST's commitment to fostering young scientific talent and providing opportunities for them to engage with the global scientific community.