KAUST's Bluefin, a fish wearable technology developed by Professor Muhammad Mustafa Hussain, won the CES Innovation Award. The device measures water temperature, pressure, depth, and pH levels, functioning for a year at a depth of 2km while weighing only 2.4 grams. Bluefin will be available to scuba divers, naval forces, and fisheries for marine life tagging. Why it matters: This award recognizes KAUST's contributions to marine research technology and positions the university as a global leader in applying advanced engineering to ecological monitoring.
KAUST researchers are developing an AI tool to classify fish species based on economic value and population growth rate, aiming to aid sustainable fisheries management in Saudi Arabia. The tool will help identify species at risk of decline, supporting marine conservation and food security goals outlined in Saudi Vision 2030. Saudi Arabia aims to increase self-sufficiency in seafood production amid declining Red Sea fish populations. Why it matters: This initiative could significantly improve fisheries management and conservation efforts in the Red Sea, informing policy decisions and supporting sustainable food production in line with national objectives.
A KAUST-led team mapped the genome of the orange clownfish using the university's Supercomputing and Bioscience Core Labs. The genome contains 26,597 protein-coding genes and is available via the Nemo Genome DB database. The clownfish genome is one of the most complete fish genomes ever produced, comprising approximately 939 million nucleotides. Why it matters: This genomic map provides a crucial resource for understanding reef fish biology and responses to environmental changes like climate change.
Researchers from MBZUAI, Khalifa University, and Sorbonne University Abu Dhabi developed H-SURF, a system of underwater robotic fish that can swim, communicate, and gather information without human guidance. The robotic fish use bioinspired robotics with streamlined bodies, fins, and propellers to produce fluid movement. They communicate with each other using light instead of sound to reduce noise. Why it matters: This award-winning system represents a significant advancement in autonomous underwater robotics, offering a less intrusive way to monitor marine environments and gather data, with potential applications in marine biology and environmental research.
Cindy Lee Van Dover, a professor at Duke University, spoke at KAUST's Winter Enrichment Program in 2017 about the blue economy. The blue economy refers to the sustainable use of ocean resources for economic growth, improved livelihoods, and jobs while preserving the health of ocean ecosystems. Why it matters: This highlights KAUST's interest in marine science and sustainable development related to ocean resources.
The article discusses parameter-efficient fine-tuning methods for large NLP models, highlighting their importance due to the increasing size and computational demands of state-of-the-art language models. It provides an overview of these methods, presenting them in a unified view to emphasize their similarities and differences. Indraneil, a PhD candidate at TU Darmstadt's UKP Lab, is researching parameter-efficient fine-tuning, sparsity, and conditional computation methods to improve LLM performance in multilingual, multi-task settings. Why it matters: Efficient fine-tuning techniques are crucial for democratizing access to and accelerating the deployment of large language models in the region and beyond.
Marcus Engsig from DERC will present a paper at the MATLAB User Group Meeting in Abu Dhabi on October 6. The paper, titled ‘Generalization of Higher Order Methods For Fast Iterative Matrix Inversion Compatible With GPU Acceleration’, discusses a novel approach to matrix inversion using GPUs. The method, named Nested Neumann, achieves 4-100x acceleration compared to standard MATLAB methods for large matrices. Why it matters: This research contributes to faster computation in numerical and physical modeling, crucial for processing large datasets in various scientific and engineering applications in the region.
KAUST and MEWA's Aquaculture Development Program (ADP) showcased achievements at the 6th International Saudi Aquaculture Development Workshop. New fish nutrition formulations developed by KAUST Beacon Development (KBD) could save Saudi Arabia $417 million per year in aquaculture production costs by 2030 through improved feed conversion ratios. KBD has also established complete production cycles for Sobaity and Gilthead seabream under Red Sea conditions. Why it matters: These advancements boost Saudi Arabia's food security and promote sustainable aquaculture, reducing reliance on imports and diversifying the economy in line with Vision 2030.