KAUST and the Marine Technology Society (MTS) have formed the MTS Red Sea Section, the first MTS Section in the Middle East. KAUST hosted the MATE ROV Red Sea Regional competition and RobotoKAUST, sponsored by the MTS Red Sea Section. Saudi Arabia is investing heavily in the Blue Economy, and KAUST is positioning itself at the forefront of marine science and technology for the Red Sea. Why it matters: This partnership and KAUST's activities will foster marine technology development and talent growth in the region, aligning with Saudi Arabia's Blue Economy initiatives.
This paper explores Dialectal Arabic (DA) to Modern Standard Arabic (MSA) machine translation using prompting and fine-tuning techniques for Levantine, Egyptian, and Gulf dialects. The study found that few-shot prompting outperformed zero-shot and chain-of-thought methods across six large language models, with GPT-4o achieving the highest performance. A quantized Gemma2-9B model achieved a chrF++ score of 49.88, outperforming zero-shot GPT-4o (44.58). Why it matters: The research provides a resource-efficient pipeline for DA-MSA translation, enabling more inclusive language technologies by addressing the challenges posed by dialectal variations in Arabic.
KAUST and McLaren Racing have expanded their 5-year partnership to include collaborative research projects across McLaren's motorsport teams. The partnership will focus on simulation methodologies, optimized computing, and high-efficiency lubricants. KAUST students and researchers will work with McLaren at the McLaren Technology Centre to deliver joint projects. Why it matters: This collaboration provides KAUST students with real-world experience in an applied R&D environment, fostering innovation in areas like materials, lightweight structures, and circularity, with potential implications for the broader automotive and technology sectors in the region.
KAUST Ph.D. student Michał Mańkowski won a Poster of Distinction Award at the American Society of Transplant Surgeons (ASTS) 18th Annual State of the Art Winter Symposium for his work on kidney allocation systems. His poster described a simulation for a new kidney allocation system to accelerate organ placement, focusing on marginal quality kidneys. The research involves combinatorial optimization, operation research and management science with healthcare applications, stemming from a collaboration with Johns Hopkins School of Medicine. Why it matters: The research aims to improve organ transplantation efficiency and save lives by optimizing kidney allocation systems, demonstrating the potential of AI and optimization techniques in healthcare.