General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
KAUST researchers are using AI to analyze satellite imagery for the automated detection of ancient stone structures in northwest Saudi Arabia, including mustatils (rectangular structures dating to the late 6th millennium BCE) and ruins in circular and triangular shapes. They developed a deep learning algorithm trained on manually identified datasets to isolate similar features over a wide area. The tool converts detected pixels into geodetic coordinates using GPS, assembling them into an online map and database. Why it matters: This project exemplifies computational archaeology, speeding up archaeological discoveries, promoting cultural heritage, and providing a methodology useful to other sectors of the economy.
KAUST researchers, in collaboration with the Salk Institute and Altos Labs, have identified a class of RNA (LINE-1) that, when compromised, leads to accelerated aging, as seen in progeria. They devised an antisense RNA strategy to block the aberrant function of L1 RNA, reversing the disease in mice and patient-derived cells. Published in Science Translational Medicine, the research suggests that targeting LINE-1 RNA could treat progeroid syndromes and other age-related diseases. Why it matters: This RNA-based approach provides a potential therapeutic avenue for treating premature aging diseases and extending human health span in the region and globally.
Researchers at KAUST and international collaborators have published a framework in Nature Microbiology for using microbiomes to protect wildlife. The framework outlines a path from laboratory research to large-scale applications of microbiome solutions for threatened ecosystems. It addresses ethical considerations and risk assessment for applying environmental probiotics. Why it matters: This framework provides a science-based guide for responsible research and development of microbiome solutions to combat global biodiversity loss, particularly in sensitive marine ecosystems like coral reefs.
KAUST, Intel, and Brightskies have launched REDD, a collaborative self-driving mobility platform, converting a conventional car into a self-driving vehicle with integrated AI software. Brightskies developed the self-driving system, powered by Intel® NUC platforms, utilizing their BrightDrive system. KAUST researchers will use the vehicle to test new techniques, leveraging real-world data to improve self-driving technologies. Why it matters: This partnership advances autonomous vehicle research in Saudi Arabia, aligning with the Kingdom's Vision 2030 by creating a platform for innovation and testing in a real-world environment.
Qatar Computing Research Institute (QCRI) has developed NatiQ, an end-to-end text-to-speech (TTS) system for Arabic utilizing encoder-decoder architectures. The system employs Tacotron-based models and Transformer models to generate mel-spectrograms, which are then synthesized into waveforms using vocoders like WaveRNN, WaveGlow, and Parallel WaveGAN. Trained on in-house speech data featuring a neutral male voice (Hamza) and an expressive female voice (Amina), NatiQ achieves a Mean Opinion Score (MOS) of 4.21 and 4.40, respectively. Why it matters: This research advances Arabic language technology, providing high-quality TTS synthesis that can enhance accessibility and usability of digital content for Arabic speakers.
KAUST researchers have developed polytriazole membranes for energy-efficient crude oil fractionation, as detailed in a recent Science Magazine paper. Led by Dr. Suzana Nunes and Dr. Stefan Chisca, the team created membranes that can withstand harsh industrial conditions like high temperatures and organic solvents. The membranes offer a low-carbon footprint alternative to traditional separation techniques like distillation. Why it matters: This innovation could significantly reduce energy consumption and promote a circular carbon economy in the petrochemical industry within the GCC region and beyond.
KAUST and the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) are collaborating to research the Red Sea's shallow reef and deep-water environments. The partnership utilizes Japanese specialty equipment and the KAUST-owned research vessel RV Thuwal, with funding from the Japanese Ministry of Economy, Trade and Industry (METI) and KAUST. The initiative will address critical data gaps about the Red Sea and provide information for government regulations. Why it matters: This collaboration will advance understanding of the Red Sea's unique environment, relevant to Saudi Arabia's giga-projects and environmental protection efforts.
KAUST's Destination Deep Tech program has concluded with five international startups—CeEntek, Hopu, Insignes-Labs, Pasqal, and Proteinea—expanding into the MENA region. These startups, chosen for their advanced technologies, address societal challenges like food security, climate change, and health. Pasqal signed an MoU with Aramco and is collaborating with KAUST's Extreme Computing Research Center, while Insignes-Labs is piloting with Red Sea Farms. Why it matters: This program exemplifies KAUST's commitment to fostering a deep tech ecosystem in Saudi Arabia, attracting global talent to align with Vision 2030 and tackle critical regional and global challenges.
KAUST startup uODS signed an MoU with Saudi Aramco Base Oil Company (Luberef) to develop and deploy technology removing sulfur from hydrocarbons. The uODS process, based on KAUST's sonochemistry research, reduces sulfur in marine fuels to meet IMO 2020 regulations. Luberef aims to reduce its environmental footprint by piloting the uODS technology at its Jeddah refineries, with uODS set to produce 10 tons per day of desulfurized fuel for testing. Why it matters: The partnership demonstrates KAUST's role in addressing Saudi Arabia's environmental goals and showcases the potential of university spin-offs to contribute to a more sustainable oil industry in the region.
This paper introduces a self-supervised learning method for point cloud analysis using an upsampling autoencoder (UAE). The model uses subsampling and an encoder-decoder architecture to reconstruct the original point cloud, learning both semantic and geometric information. Experiments show the UAE outperforms existing methods in shape classification, part segmentation, and point cloud upsampling tasks.
KAUST researchers have developed an artificial electronic retina mimicking the behavior of rod retina cells, utilizing a hybrid perovskite material (MAPbBr3) embedded in PVDF-TrFE-CEF. The photoreceptor array, made of metal-insulator-metal capacitors, detects light intensity through changes in electrical capacitance. Connected to a CMOS-sensing circuit and a spiking neural network, the 4x4 array achieved around 70 percent accuracy in recognizing handwritten numbers. Why it matters: This research paves the way for energy-efficient neuromorphic vision sensors and advanced computer vision applications, potentially revolutionizing camera technology.
The Suliman S. Olayan Foundation and KAUST broke ground for The Suliman S. Olayan Institute for Innovation and Entrepreneurship in Thuwal, Saudi Arabia. The institute will foster collaboration between science, technology, industry, business and entrepreneurship, focusing on sustainable solutions for water, food, and energy. It will consist of startup scaling, teaching & learning, and public spaces. Why it matters: The institute will help incubate Saudi-bred intellectual property and drive innovation in key sectors, contributing to the Kingdom's economic diversification goals.
KAUST researchers have achieved a breakthrough by passing the damp-heat test for perovskite solar cells (PSCs), a rigorous assessment of their ability to withstand prolonged exposure to high humidity and temperatures. The team engineered 2D-perovskite passivation layers that block moisture and enhance power conversion efficiencies. The successful test, which requires maintaining 95% of initial performance after 1,000 hours at 85% humidity and 85 degrees Celsius, marks a significant step toward commercialization. Why it matters: This advancement addresses a critical weakness of PSCs and brings the technology closer to competing with silicon solar cells in terms of stability and longevity, crucial for widespread adoption of renewable energy.
This paper introduces a novel black-box adversarial attack method, Mixup-Attack, to generate universal adversarial examples for remote sensing data. The method identifies common vulnerabilities in neural networks by attacking features in the shallow layer of a surrogate model. The authors also present UAE-RS, the first dataset of black-box adversarial samples in remote sensing, to benchmark the robustness of deep learning models against adversarial attacks.
This paper introduces a self-supervised contrastive learning method for segmenting the left ventricle in echocardiography images when limited labeled data is available. The approach uses contrastive pretraining to improve the performance of UNet and DeepLabV3 segmentation networks. Experiments on the EchoNet-Dynamic dataset show the method achieves a Dice score of 0.9252, outperforming existing approaches, with code available on Github.
Researchers at KAUST have developed a nanocomposite material that converts X-rays into light with nearly 100% efficiency. The material combines a metal-organic framework (MOF) containing zirconium with an organic TADF chromophore. This design achieves high resolution and sensitivity in X-ray imaging, potentially reducing medical imaging doses by a factor of 22. Why it matters: This innovation could lead to more efficient and safer medical imaging and security screening technologies in the region and beyond.
KAUST has inaugurated the world's first Coral Probiotics Village (CPV) in the Red Sea, a natural laboratory for coral reef research. The CPV is located 20 km off the KAUST campus and will focus on developing solutions for coral preservation and restoration using Beneficial Microorganisms for Corals (BMCs). Researchers aim to mitigate the impacts of thermal stress and pathogens on corals, potentially preventing coral mortality. Why it matters: This initiative positions KAUST as a leader in marine biotechnology and offers innovative approaches to protect coral reefs in the Red Sea and worldwide.
KAUST researchers have discovered that the bacterium Enterobacter sp. SA187, found in desert plants, enhances plant salt tolerance by triggering sulfur metabolism. Salt stress prompts the bacteria to release sulfur metabolites, which then generate the antioxidant glutathione in the plant, protecting it from salt-induced damage. A KAUST startup aims to commercialize SA187 as a probiotic treatment for seeds and crops. Why it matters: This research offers a biotechnological approach to enable saline agriculture, which is crucial for water-scarce regions like Saudi Arabia that rely on energy-intensive desalination.
KAUST researchers are using 3D printing with a novel calcium carbonate ink to create coral support structures that accelerate coral restoration. Their approach, named 3D CoraPrint, involves printing coral microfragments onto the structure, offering a head start for reef recovery. Two methods were developed: printing a mold for reproduction and direct printing for customization. Why it matters: This eco-friendly technique provides a potentially scalable solution to combat coral reef degradation, leveraging advanced materials and fabrication for ecological conservation in the region and beyond.
KAUST AgriTech startups Natufia and Edama won NASA's Deep Space Food Challenge for their joint solution integrating automated hydroponics, macroalgae farming, and composting. Their closed-loop system efficiently recovers and reuses waste resources to maximize productivity and reduce dependence on external inputs. The system can supply a diverse and nutritious menu of fruits, vegetables, and algae-based dietary supplements for astronauts. Why it matters: This award highlights the growing strength of the Saudi entrepreneurial ecosystem in developing innovative AgriTech solutions with global applications, particularly for sustainable food production.
KAUST and AlFaisal University have signed an MOU to establish a joint M.D.-Ph.D. program, the first of its kind in Saudi Arabia. AlFaisal medical students selected for the program will enroll in a KAUST Ph.D. program focused on basic research, smart-health tools, and precision medicine. Graduates will become clinician-scientists implementing smart-health methods in the Saudi healthcare system. Why it matters: This program will cultivate a new generation of leaders in smart health and precision medicine, fostering evidence-based practices in Saudi healthcare.
KAUST and the National Center for Meteorology (NCM) have signed agreements to create two new climate centers in Saudi Arabia. The centers are named The National Center for Climate Change, and the Regional Sand and Dust Storms Early Warning and Advisory Center. KAUST will assist NCM in developing web-based publishing software and climate models, in cooperation with the National Center for Atmospheric Research in the USA. Why it matters: The new centers will provide crucial tools and information for mitigating the negative effects of climate change in Saudi Arabia and the broader MENA region.
This paper introduces a method for automatically designing convolutional neural network (CNN) architectures tailored for diabetic retinopathy (DR) diagnosis using fundus images. The approach uses k-medoid clustering, PCA, and inter/intra-class variations to optimize CNN depth and width. Validated on datasets including a local Saudi dataset and Kaggle benchmarks, the custom-designed models outperform pre-trained CNNs with fewer parameters.
KAUST researchers have developed a passive cooling system that uses solar energy to evaporate water and regenerate salt for reuse, achieving temperatures as low as 3.6 degrees Celsius. The system uses ammonium nitrate (NH4NO3) due to its high solubility and low cost. The crystallized salt stores solar energy and can be reused for cooling when needed. Why it matters: This off-grid design offers a sustainable and inexpensive cooling solution for communities in hot regions with limited electricity access, addressing a critical need exacerbated by climate change.
Researchers at KAUST and Peking University Third Hospital have created a novel blastoid model for studying early human development using extended pluripotent stem cells (EPSCs). The blastoid is a 3D cell model mimicking the blastocyst phase, avoiding ethical concerns associated with using human embryos. The team showed that blastoids can be cultured to mimic post-implantation development, offering insights into early cell lineages. Why it matters: This innovation provides a way to study human embryogenesis without the ethical constraints of using actual embryos, potentially advancing our understanding of miscarriage and birth defects.
Jürgen Schmidhuber has been appointed as the Director of the KAUST AI Initiative. Schmidhuber is known for his contributions to deep learning and artificial neural networks, and co-founded the company NNAISENSE. At KAUST, he will focus on faculty recruitment, educational programs, and collaboration with public and private sectors. Why it matters: The appointment of a leading AI researcher signals KAUST and Saudi Arabia's commitment to advancing AI research and its application to key national projects.
KAUST researchers demonstrated that Beneficial Microorganisms for Corals (BMC) can help corals recover from thermal stress by stimulating immune processes and rebuilding their microbiome. The study, published in Science Advances, showed that probiotic treatments can protect bleached corals from death. The research was conducted at the Federal University of Rio de Janeiro (UFRJ) and the KAUST Red Sea Research Center, with funding from the Great Barrier Reef Foundation and the Tiffany & Co Foundation. Why it matters: This finding offers a promising solution for mitigating the impacts of climate change on coral reefs, which are vital ecosystems facing increasing threats from warming ocean temperatures.
KAUST and Spire Global are collaborating on a nanosatellite mission, launching a 6U CubeSat to collect high-resolution data on global ecosystems. The satellite, equipped with GNSS-R and a hyperspectral instrument with AI capabilities, will operate for three years. KAUST researchers will use the data for mapping habitats, monitoring vegetation, studying coral reefs, and advancing precision agriculture. Why it matters: This mission will provide valuable data for environmental monitoring and support Saudi Arabia's Vision 2030 goals and the Saudi and Middle East Green Initiatives.
This paper introduces a unified deep autoregressive model (UAE) for cardinality estimation that learns joint data distributions from both data and query workloads. It uses differentiable progressive sampling with the Gumbel-Softmax trick to incorporate supervised query information into the deep autoregressive model. Experiments show UAE achieves better accuracy and efficiency compared to state-of-the-art methods.
A KAUST-led team developed NIRVANA, a portable, briefcase-sized device for rapid detection and sequencing of SARS-CoV-2, influenza, and other viruses. The test utilizes isothermal recombinase amplification (RPA) and was validated on clinical samples and wastewater. NIRVANA can differentiate SARS-CoV-2 strains and doesn't require expensive infrastructure. Why it matters: This innovation enables rapid, decentralized virus detection and surveillance, crucial for pandemic response and monitoring new variants across the region.
The Red Sea Development Company (TRSDC) and KAUST have signed a Master Research Agreement (MRA) to collaborate on sustainability research. Prior collaborations included flora and fauna assessments and the Brains-for-Brine Challenge. The MRA focuses on marine environments, waste management, food production, energy conservation, and carbon sequestration. Why it matters: This partnership aims to develop regenerative tourism practices, preserve the Red Sea's biodiversity, and establish a model for sustainable tourism in the region.
The Qatar Computing Research Institute (QCRI) has released QASR, a 2,000-hour transcribed Arabic speech corpus collected from Aljazeera news broadcasts. The dataset features multi-dialect speech sampled at 16kHz, aligned with lightly supervised transcriptions and linguistically motivated segmentation. QCRI also released a 130M word dataset to improve language model training. Why it matters: QASR enables new research in Arabic speech recognition, dialect identification, punctuation restoration, and other NLP tasks for spoken data.
KAUST and Aramco have developed a one-step crude-to-chemicals (C2C) technology that converts crude oil to light olefins in a single-reactor system. The technology, published in Nature Catalysis, aims to maximize the production of materials used in daily life over fuels. Aramco is pursuing growth opportunities in petrochemicals using the C2C method. Why it matters: The C2C breakthrough aligns with Saudi Vision 2030 and could reduce the carbon footprint associated with oil use, creating jobs and supporting a thriving economy.
KAUST is leading a $3.5 million investment in Natufia, an Estonian startup that developed a smart indoor kitchen garden, with $2 million awarded through the KAUST Innovation Fund. Natufia's hydroponic technology allows year-round harvesting of herbs, greens, and vegetables at home, regardless of climate. By taking up residency at the KAUST Research and Technology Park, Natufia aims to expand R&D capabilities and create job opportunities in Saudi Arabia. Why it matters: This investment addresses the challenge of accessing fresh produce in regions like Saudi Arabia while reducing food waste and promoting sustainable agriculture through innovative technology.
A KAUST-led study published in Science found overwhelming evidence that man-made noise negatively impacts marine fauna and their ecosystems, disrupting behavior, physiology, and reproduction. The researchers assessed over 10,000 papers to demonstrate that noise pollution from shipping, fishing, and infrastructure development harms marine life from invertebrates to whales. They call for human-induced noise to be considered a prevalent stressor at the global scale and for policy to be developed to mitigate its effects. Why it matters: This research highlights the need to consider acoustic dimensions in ocean health restoration efforts, promoting management actions to reduce noise levels and allow marine animals to re-establish their use of ocean sound.
Khaled Alsayegh at the King Abdullah International Medical Research Center is creating a Saudi Stem Cell Donor Registry, with 80,000 potential donors identified. The aim is to identify universal donors, reprogram their cells into induced pluripotent stem (iPS) cells, and create a gene bank for matched tissue transplants. Alsayegh is collaborating with Jesper Tegnér at KAUST to create pacemaker cells using single-cell RNA sequencing. Why it matters: This initiative could revolutionize precision medicine in KSA by providing readily available, matched cells for transplants, reducing the need for patient-specific reprogramming and improving treatment outcomes.
KAUST has upgraded its connectivity with 200 Gbps links to Amsterdam and Singapore, connecting to major research networks in Europe and Asia. This upgrade provides researchers with fast data transmission and access to global scientific resources. The increased bandwidth reduces data transfer times significantly, enabling high-performance science applications. Why it matters: This connectivity boost is unprecedented in the Middle East and empowers KAUST to enhance global research collaboration and fully utilize its advanced data processing capabilities.
Researchers from KAUST and University of Toronto have created a two-sided perovskite/silicon tandem solar cell that exceeds the performance limits for tandem configurations. The bifacial design captures both direct sunlight and light reflected from the ground (albedo). Outdoor testing demonstrated efficiencies beyond commercial silicon solar panels. Why it matters: This innovation promises ultra-high power generation at affordable costs, potentially revolutionizing the photovoltaics market in the region and globally.
A KAUST-led team used acoustic technology and net sampling to explore ocean depths in 146 locations worldwide. They found that the biomass of pelagic organisms in the deep sea is much larger than previously thought, especially below productive waters. Deep-sea fauna migrates to shallower areas to feed, transporting carbon to the deep sea. Why it matters: This suggests the ocean's carbon pump is more effective than previously understood, with implications for climate change mitigation strategies.
The paper introduces AraELECTRA, a new Arabic language representation model. AraELECTRA is pre-trained using the replaced token detection objective on large Arabic text corpora. The model is evaluated on multiple Arabic NLP tasks, including reading comprehension, sentiment analysis, and named-entity recognition. Why it matters: AraELECTRA outperforms current state-of-the-art Arabic language representation models, given the same pretraining data and even with a smaller model size, advancing Arabic NLP.
The paper introduces AraGPT2, a suite of pre-trained transformer models for Arabic language generation, with the largest model (AraGPT2-mega) containing 1.46 billion parameters. Trained on a large Arabic corpus of internet text and news, AraGPT2-mega demonstrates strong performance in synthetic news generation and zero-shot question answering. To address the risk of misuse, the authors also released a discriminator model with 98% accuracy in detecting AI-generated text. Why it matters: This release of both the model and discriminator fills a critical gap in Arabic NLP and encourages further research and applications in the field.
KAUST and Janssen Pharmaceutical (Johnson & Johnson) are collaborating to research and innovate in neglected tropical diseases, focusing on dengue fever. They signed an MoU to establish a dengue fever research program and an infectious disease R&D center at KAUST's National BioPark. The partnership marks Johnson & Johnson's first university collaboration in Saudi Arabia. Why it matters: This collaboration signifies a major step in localizing disease research within Saudi Arabia and leveraging KAUST's AI, genomics, and data simulation expertise to address global health challenges.
A KAUST-led study tracked coral grouper movements in Australia's Great Barrier Reef over 20 years. Researchers genotyped thousands of coral grouper to map larval dispersal patterns from no-take zones. They found that no-take zones ensure a consistent supply of fish stocks, benefiting both conservation and fisheries. Why it matters: The study demonstrates the value of marine protected areas for biodiversity and fisheries management, providing insights for effective reserve design.
A retrospective study in Abu Dhabi, UAE, developed a machine learning-based prognostic system to predict the risk of seven complications in COVID-19 patients using data from 3,352 patient encounters. The system, trained on data from the first 24 hours of admission, achieved high accuracy (AUROC > 0.80) in predicting complications like AKI, ARDS, and elevated biomarkers in geographically split test sets. The models primarily used gradient boosting and logistic regression.
A collaborative research team including KAUST scientists has located a major sink for missing ocean plastic in coastal sediments and mangrove forests of the Red Sea and Arabian Gulf. Core samples showed a pattern of plastic sedimentation aligning with the history of global plastic production since the 1950s. Mangroves efficiently lock up microplastics in coastal soil, with plastic burial rates increasing similarly to global production. Why it matters: The findings highlight the critical role of mangroves in trapping plastic pollution and provide evidence that plastic sedimentation marks the start of a new geological epoch, the Anthropocene.
The study compares deep learning models trained via transfer learning from ImageNet (TII-models) against those trained solely on medical images (LMI-models) for disease segmentation. Results show that combining outputs from both model types can improve segmentation performance by up to 10% in certain scenarios. A repository of models, code, and over 10,000 medical images is available on GitHub to facilitate further research.
KAUST researchers have fabricated and tested high-efficiency perovskite-silicon tandem solar cells optimized for hot climates. The tandem device is more stable than conventional perovskite cells and optimized for industry use. Outdoor testing at KAUST confirmed performance improvements, indicating bromide-lean perovskite top cells with narrower bandgaps are ideal. Why it matters: The research demonstrates the viability of tandem silicon-perovskite cells in harsh environments, paving the way for more efficient solar technology in the region and globally.
Educational institutions from the UAE and Israel have signed a Memorandum of Understanding (MoU) focused on artificial intelligence. The agreement aims to foster collaboration in AI research, development, and education between the two nations. This partnership facilitates knowledge exchange, joint projects, and student and faculty mobility in AI fields. Why it matters: This marks a significant step in regional academic and technological cooperation, potentially accelerating AI innovation and talent development across the Middle East.
Educational institutions from the United Arab Emirates and Israel have formally signed a Memorandum of Understanding (MoU). This agreement aims to foster cooperation and collaboration in the field of artificial intelligence. The specific participating institutions and detailed scope of the initiatives were not elaborated. Why it matters: This MoU signifies a notable step in academic and research collaboration between UAE and Israeli entities in the critical domain of AI, potentially leading to joint research and knowledge exchange.
A university in the United Arab Emirates and Israel's Weizmann Institute of Science have reportedly agreed to cooperate in the field of Artificial Intelligence. This partnership aims to foster joint research and development initiatives between the two academic institutions. Further details regarding the scope and specific projects of this collaboration were not specified. Why it matters: This agreement signifies a notable step in scientific collaboration between the UAE and Israel, with the potential to advance AI research and development within the region.