KAUST Associate Professor Peiying Hong has developed a wastewater treatment method using anaerobic membrane bioreactor (AnMBR) technology, which converts organic carbon into methane. In partnership with MODON, a pilot program is operational in Jeddah, treating 23,000 liters of wastewater daily using UV light and hydrogen peroxide for disinfection. This system produces clean water suitable for agriculture and biomass for fertilizer, with a smaller footprint and lower energy consumption than traditional aerobic methods. Why it matters: The AnMBR technology aligns with Saudi Vision 2030's water reuse objectives, reducing reliance on energy-intensive desalination and offering a sustainable solution for water-stressed regions.
MBZUAI researchers introduce ARB, the first comprehensive benchmark for evaluating step-by-step multimodal reasoning in Arabic across textual and visual modalities. The benchmark spans 11 diverse domains and includes 1,356 multimodal samples with 5,119 human-curated reasoning steps. Evaluations of 12 state-of-the-art LMMs revealed challenges in coherence, faithfulness, and cultural grounding, highlighting the need for culturally aware AI systems.
The paper introduces ArabicNumBench, a benchmark for evaluating LLMs on Arabic number reading using both Eastern and Western Arabic numerals. It evaluates 71 models from 10 providers on 210 number reading tasks, using zero-shot, zero-shot CoT, few-shot, and few-shot CoT prompting strategies. The results show substantial performance variation, with few-shot CoT prompting achieving 2.8x higher accuracy than zero-shot approaches. Why it matters: The benchmark establishes baselines for Arabic number comprehension and provides guidance for model selection in production Arabic NLP systems.
AMRC researchers Jide Oyebanji and Tarcisio Silvia will present papers at the MATLAB User Group Meeting in Abu Dhabi. Oyebanji's paper focuses on the 'Design of an Interactive TPMS Designing Desktop App' using MATLAB's numerical capabilities. Silvia's presentation discusses the optimization of MIMO active vibration controllers for electromechanical systems using MATLAB Simulink and Particle Swarm Optimization. Why it matters: The presentations showcase the application of computational tools like MATLAB in advanced materials research and digital engineering within the UAE.
The Advanced Materials Research Center (AMRC) held its second Board of Advisors meeting on November 23, 2021. Board members from Khalifa University, University of Sheffield, City University Hong Kong, Ludwig Maximilians Universität München, and Instituto Superior Técnico provided feedback on AMRC’s strategic plans. The meeting focused on AMRC’s strategic growth and future directions. Why it matters: The meeting indicates continued investment in advanced materials research in the UAE, signaling potential advancements in related technological applications.