General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
Educational institutions from the United Arab Emirates and Israel have formally signed a Memorandum of Understanding (MoU) focused on artificial intelligence. This agreement aims to foster collaboration in AI research, development, and education between the two countries. The initiative is set to facilitate knowledge exchange and joint projects in the rapidly evolving field of AI. Why it matters: This MoU signifies a notable expansion of academic and technological cooperation in AI between the UAE and Israel, highlighting a growing trend of regional collaboration in key technological sectors.
KAUST researchers published a paper in Nature Electronics outlining communications infrastructure enhancements for 6G to provide global internet access and bridge the digital divide. They propose innovations like aerial access networks, intelligent spectrum management, and energy efficiency improvements. In a separate IEEE paper, KAUST and Missouri S&T researchers demonstrate approaches for improving network throughput using UAVs and balloons in areas lacking terrestrial infrastructure. Why it matters: The research addresses the UN's Sustainable Development Goal of universal internet access and aims to bring connectivity to underserved populations, enabling access to essential services and opportunities.
KAUST Ph.D. graduate Dr. Noha Al-Harthi and doctoral student Rabab Alomairy won the German Gauss Center for Supercomputing (GCS) Award for optimizing solvers for high-performance computing applications. Their work focused on acoustic boundary integral equations, common in engineering and fluid dynamics. The award provides them access to the supercomputer "Isambard" in the UK and other opportunities. Why it matters: This recognition highlights KAUST's leading role in high-performance computing research in the Middle East and the growing expertise in supercomputing among Saudi researchers.
Researchers developed a data-driven toolkit for short-term traffic forecasting using high-resolution traffic data from urban road sensors. The method models forecasting as a matrix completion problem, mapping inputs to a higher-dimensional space using kernels and adaptive boosting. Validated using real-world data from Abu Dhabi, UAE, the method outperforms state-of-the-art algorithms.
A KAUST team led by Xin Gao developed an AI model for COVID-19 detection from CT scans, addressing limitations of existing methods. The model incorporates a novel embedding strategy, a CT scan simulator, and a 2.5D deep-learning algorithm. Tested at King Faisal Specialist Hospital, the model demonstrated high accuracy in detecting COVID-19 cases. Why it matters: This research provides a valuable tool for rapid and accurate COVID-19 diagnosis in the region, especially in early-stage infections, improving healthcare outcomes.
This paper introduces GigaBERT, a customized bilingual BERT model pre-trained for Arabic NLP and English-to-Arabic zero-shot transfer learning. The study evaluates GigaBERT's performance on four information extraction tasks: named entity recognition, part-of-speech tagging, argument role labeling, and relation extraction. Results show that GigaBERT outperforms mBERT, XLM-RoBERTa, and AraBERT in both supervised and zero-shot transfer settings. Why it matters: GigaBERT advances Arabic NLP by providing a high-performing, publicly available model tailored for the complexities of the Arabic language and cross-lingual applications.
A KAUST-led international study published in Nature outlines a roadmap for marine life to recover to full abundance by 2050. The study identifies "recovery wedges" consisting of six complementary interventions: protecting species, harvesting wisely, protecting spaces, restoring habitats, reducing pollution, and mitigating climate change. Researchers found evidence of marine life's resilience and a shift from losses to recovery in some areas. Why it matters: The study provides actionable recommendations for large-scale interventions to achieve a sustainable future for marine ecosystems in the Red Sea and globally.
Researchers at the American University of Beirut (AUB) have released AraBERT, a BERT model pre-trained specifically for Arabic language understanding. The model was trained on a large Arabic corpus and compared against multilingual BERT and other state-of-the-art methods. AraBERT achieved state-of-the-art performance on several tested Arabic NLP tasks including sentiment analysis, named entity recognition, and question answering. Why it matters: This release provides the Arabic NLP community with a high-performing, open-source language model, facilitating further research and development.
A KAUST-led research team has observed intergenerational epigenetic inheritance in corals, demonstrating that corals pass patterns of DNA to their offspring. The research, published in Nature Climate Change, shows that corals can adapt to environmental changes and pass those traits on through DNA methylation patterns. This is the first time this process has been observed in animals, previously only seen in plants. Why it matters: This finding could enable biologists to train corals in nurseries to produce offspring better equipped to survive changing marine environments, aiding coral reef restoration efforts.
The paper introduces a novel method for short-term, high-resolution traffic prediction, modeling it as a matrix completion problem solved via block-coordinate descent. An ensemble learning approach is used to capture periodic patterns and reduce training error. The method is validated using both simulated and real-world traffic data from Abu Dhabi, demonstrating superior performance compared to other algorithms.
Researchers introduce AraNet, a deep learning toolkit for Arabic social media processing. The toolkit uses BERT models trained on social media datasets to predict age, dialect, gender, emotion, irony, and sentiment. AraNet achieves state-of-the-art or competitive performance on these tasks without feature engineering. Why it matters: The public release of AraNet accelerates Arabic NLP research by providing a comprehensive, deep learning-based tool for various social media analysis tasks.
Researchers from KAUST, University of St. Andrews, and the Center for Unconventional Processes of Sciences have developed an uncrackable security system using optical chips. The system uses silicon chips with complex structures that are irreversibly changed to send information, achieving "perfect secrecy" through a one-time key. This method leverages classical physics and the second law of thermodynamics to ensure that keys are never stored, communicated, or recreated, making interception impossible. Why it matters: This breakthrough has the potential to revolutionize communications privacy globally, offering an unbreakable method for securing confidential data on public channels.
KAUST spinout Sadeem, which develops wireless environmental sensing systems, has secured $2.6 million in co-investment from the KAUST Innovation Fund and Saudi Aramco's Wa'ed Ventures. The funding will support product updates, development of new monitoring technologies, and business development. Sadeem's technology is used in cities including Mexico City and Texas for flood, traffic, weather, and air quality monitoring. Why it matters: The investment highlights the growing venture capital ecosystem in Saudi Arabia and will allow Sadeem to further develop its sensor technology for environmental monitoring and disaster prevention.
The paper proposes a method for causal inference using satellite image time series to determine the impact of interventions on climate change, focusing on quantifying deforestation due to human causes. The method uses computer vision and deep learning to detect forest tree coverage levels over time and Bayesian structural causal models to estimate counterfactuals. The framework is applied to analyze deforestation levels before and after the hyperinflation event in Brazil in the Amazon rainforest region.
KAUST researchers are undertaking a project to improve global date palm production and protection by studying the date palm genome, collecting samples from ancient palms near Madinah. They aim to develop new breeding strategies for faster, healthier, and more pest-resistant palms. The research involves advanced genome sequencing and the creation of molecular tools to improve date palm agriculture, including rapid sex determination methods and gene editing. Why it matters: This research is critical for enhancing date production in arid regions like Saudi Arabia, which is a major global producer, and for ensuring food security amidst climate challenges.
KAUST researchers from the Red Sea Research Center (RSRC) and Computational Bioscience Research Center (CBRC) found macroalgae DNA prevalent in the open ocean, up to 5,000 km from coastal areas. 69% of drifting macroalgae sinks below 1,000 m depth, sequestering carbon in deep ocean waters. The study used metagenomes generated by global ocean expeditions Tara Oceans and Malaspina, analyzed via KAUST's DMAP platform and Shaheen supercomputer. Why it matters: The findings confirm the role of macroalgae in carbon sequestration, highlighting their importance in blue carbon assessments for climate change mitigation and underscoring KAUST's contribution to environmental sustainability research.
An international team including KAUST researchers tracked nearly 2,000 sharks using satellite tags to map their movement and space use. The study found that 24% of shark habitats overlap with pelagic longline fisheries, with higher overlap for commercially exploited species. For North Atlantic blue and shortfin mako sharks, the overlap was 76% and 62% respectively. Why it matters: This research highlights the vulnerability of sharks to industrial fishing and underscores the need for targeted conservation efforts in critical habitats.
KAUST and Research Products Development Company (RPDC) have signed a partnership agreement to support technology commercialization and early-stage startups in Saudi Arabia. RPDC and the KAUST Innovation Fund will co-invest in startups and establish a joint mentorship and startup exchange program. RPDC will co-invest or match KAUST funding of up to $2 million into deep tech startups at the proof-of-concept, seed and series A funding stages. Why it matters: This collaboration aims to bolster the innovation ecosystem within Saudi Arabia, accelerating the transition of academic research to commercial applications.
KAUST researchers developed a new algorithm for detecting cause and effect in large datasets. The algorithm aims to find underlying models that generate data, helping uncover cause-and-effect dynamics. It could aid researchers across fields like cell biology and genetics by answering questions that typical machine learning cannot. Why it matters: This advancement could equip current machine learning methods with abilities to better deal with abstraction, inference, and concepts such as cause and effect.
KAUST researchers led by Yves Gnanou and Nikolaos Hadjichristidis have developed a metal-free process for creating aliphatic degradable polycarbonates using CO₂. This polycarbonate is transparent, highly flexible, and produced without toxic metals, using an ammonium compound and a boron-based compound. The process helps reduce plastic pollution and CO₂ emissions, addressing environmental concerns. Why it matters: This innovation offers a sustainable alternative to traditional plastic production, aligning with global efforts to reduce reliance on harmful materials and combat climate change.
Jean M. J. Fréchet, retired KAUST senior vice president, has been awarded the King Faisal Prize in Chemistry for his pioneering work in dendrimers, photoresists, and organic photovoltaics. His work has contributed to advancements in biotherapeutics, organic electronics, materials, and microfluidics. Fréchet is the 10th most cited chemist globally, with over 900 publications and 200 patents. Why it matters: The recognition highlights KAUST's impact on global scientific advancement and underscores the importance of investing in basic research with broad applications.
The Saudi Vaccine and Biomanufacturing Center (SVBC), the first of its kind in the Middle East, broke ground at KAUST on December 15. The center will develop vaccines and biopharmaceutical products under good manufacturing practice (GMP) standards. It is a joint project championed by the Ministry of Energy, Industry and Mineral Resources through the Industrial Clusters Program and supported by KACST. Why it matters: The center will serve as a national platform for pharmaceutical innovation and address epidemic risks in the Kingdom, such as MERS-CoV.
KAUST Professor Derya Baran and her team at startup iyris have developed transparent solar panels that can turn windows into a source of renewable energy. The technology allows buildings to generate their own electricity, aligning with Saudi Vision 2030's goals for sustainable energy. iyris' first customer is the Red Sea Farm, another KAUST-based business, which aims to use the windows to improve plant growth and crop yield. Why it matters: This innovation could significantly reduce reliance on fossil fuels and promote sustainable urban development in the region, where cooling demands drive high electricity consumption.
KAUST's supercomputer Shaheen completed ultra-resolution subsurface mapping simulations for Saudi Aramco, producing a 3D image of subsurface geologic layers at a 7.5-meter resolution. Aramco scientists used integrated GeoDRIVE software to achieve this record resolution at a production scale, improving on prior simulations with tens of meters resolution. Shaheen, located in the KAUST Supercomputing Core Laboratory, is one of the largest CPU-based supercomputers globally, featuring 12,348 Intel Haswell CPUs. Why it matters: This achievement enables more precise resource extraction and geological understanding in the Arabian Peninsula, demonstrating the growing capabilities of regional supercomputing for industrial applications.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.
KAUST and McLaren Racing have announced a five-year research partnership focused on R&D and extreme performance technology for Formula 1 cars. The collaboration will leverage KAUST's expertise in areas like sensors, electronics, numerical simulations, and fuel/engine combustion research. KAUST researchers will develop new experimental methods, mathematical models, and train students to understand complex systems. Why it matters: This partnership allows KAUST to apply its research to a real-world laboratory (Formula 1), fostering innovation in fuel technology, combustion, sensors, and algorithms with potential spillover effects for the broader automotive and engineering sectors in the region.
This paper introduces a large-scale historical corpus of written Arabic spanning 1400 years. The corpus was cleaned and processed using Arabic NLP tools, including identification of reused text. The study uses a novel automatic periodization algorithm to study the history of the Arabic language, confirming the division into Modern Standard and Classical Arabic. Why it matters: This resource enables further computational research into the evolution of Arabic and the development of NLP tools for historical texts.
KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.
KAUST researchers led by Mark Tester are developing new irrigation technology to enable crop production using semi-saline water, aiming to reduce freshwater reliance to 10% in greenhouse systems. The technology is eco-friendly and intends to cut agricultural costs by utilizing seawater, targeting a cost of 10 U.S. cents per cubic meter. A new company named Red Sea Farms is being developed to grow salt-tolerant tomatoes in diluted seawater in a greenhouse cooled with undiluted seawater. Why it matters: This research could significantly reduce pressure on freshwater resources in arid regions and offers a sustainable approach to increase food production using available seawater.
The Research Products Development Company (RPDC) signed an agreement with The Saudi Vaccine and Biomanufacturing Center (SVBC) to establish a research and industrial center in Saudi Arabia for vaccine and biopharmaceutical development. Supported by KACST and hosted by KAUST, the SVBC will provide a state-of-the-art facility and a training platform. Cooperation agreements were also signed with GE for equipment supply and with Fujifilm Dayosent Biotechnology for MERS-CoV treatment development. Why it matters: This initiative aims to localize vaccine and advanced treatment industries in Saudi Arabia, create technical jobs, and reduce reliance on imports in line with Vision 2030.
KAUST and NEOM have signed an agreement to establish the KAUST-NEOM Center of Excellence for NEOM Research at KAUST. The center will focus on solutions for challenges in sustainable energy, urban planning, agriculture, seismology, water desalination, AI, big data, and sensors. NEOM will be backed by over $500 billion in funding. Why it matters: The partnership signifies a major investment in R&D and technological innovation within Saudi Arabia, aligning with the Kingdom's vision for economic diversification and development of cutting-edge technologies.
KAUST's Water Desalination and Reuse Center (WDRC) is developing solar-powered seawater desalination technologies, including the MEDAD cycle which combines adsorption desalination (AD) and multi-effect distillation (MED). The MEDAD cycle, developed by Professor Kim Choon Ng, doubles water production at the same temperature, reducing costs to $0.48/m3 compared to $1.201/m3 for multi-stage flash distillation. A 100 m3/day commercial-scale MEDAD project was commissioned in Riyadh in 2017 in collaboration with KACST, and a larger 2,000 m3/day project is planned for Yanbu. Why it matters: This highlights Saudi Arabia's move towards sustainable energy and the role of research institutions like KAUST in developing cost-effective desalination technologies suitable for the region.
KAUST's Professor Carlos Duarte contributed to sequencing the genome of Zostera marina (eelgrass), work published in Nature. The research identifies gene loss and adaptation mechanisms related to the plant's transition from land to marine environments. Eelgrass developed salt resistance, which could inform selective breeding for salt-tolerant food crops. Why it matters: Understanding the eelgrass genome can help in conservation efforts and provide insights into plant adaptation to climate change and marine environments.
Researchers at KAUST have synthesized a novel porous organic polymer (POP) with enhanced CO2 adsorption properties. The POP material has aldehydes that allow for post-synthetic functionalization by amines, improving interactions between CO2 and the material. Experiments showed a significant enhancement of CO2 affinity and a drastic increase in heats of adsorption. Why it matters: This research provides a promising new material for economic and efficient carbon capture, addressing the urgent need to reduce CO2 emissions.
KAUST researchers led by Dr. Muhammad Hussain have developed a flexible, transparent silicon-on-polymer based FinFET inspired by the folded architecture of the human brain's cortex. The team created a 3D FinFET on a flexible platform without compromising integration density or performance. They aim to demonstrate a fully flexible silicon-based computer by the end of the year. Why it matters: This research could lead to the development of ultra-mobile, foldable computers and integrated circuits, advancing the field of flexible electronics in the region.
KAUST researchers led by Dr. Niveen Khashab have developed thermosensitive liposomes for controlled drug release, particularly in cancer therapies. The liposomes are designed to release drugs only when they reach heated tumor tissue, minimizing systemic side effects. Cholesterol moieties are used as anchors to create a "nail" or "comb" effect, enabling temperature-triggered drug release inside cells. Why it matters: This targeted drug delivery system could significantly improve the efficacy and reduce the toxicity of cancer treatments.
KAUST and GE have partnered to study the feasibility of using crude oils like Arabian Super Light (ASL) to power heavy-duty gas turbines. The collaboration aims to develop turbines capable of burning crude oil directly from the ground to meet Saudi Arabia's energy security needs. The research involves building a rig at KAUST's High Pressure Combustion Laboratory (HPCL) to conduct corrosion tests on turbine materials by burning ASL/AXL crude continuously for 2,000 hours. Why it matters: This partnership could reduce reliance on natural gas and offer an economically viable alternative fuel source, bolstering energy security in Saudi Arabia and potentially influencing turbine technology worldwide.
KAUST researchers developed a new single-molecule imaging method called the cumulative-area (CA) method. This method allows for simultaneous characterization of size, shape, and conformational dynamics of individual molecules, along with accurate determination of diffusion kinetics. The researchers demonstrated the CA method's effectiveness on nano- and micro-sized objects, extracting quantitative information about size, diffusion, and relaxation time. Why it matters: This advancement expands the capabilities of molecule imaging techniques in the region and has potential applications in polymer dynamics research and the study of molecular mechanisms within cells.
A KAUST-led team developed a nano-optical chip capable of generating and controlling nanoscale rogue waves. The chip, detailed in Nature Physics, uses a planar photonic crystal fabricated at the University of St. Andrews and tested at FOM Institute AMOLF. It enables unprecedented control over these rare, high-energy events, opening possibilities for energy research and environmental safety. Why it matters: This innovation provides a new platform for studying extreme events and potentially harnessing their energy, advancing both fundamental science and practical applications in areas like renewable energy and disaster prevention.
A KAUST research team led by Prof. Osman Bakr developed a novel antisolvent vapor-assisted crystallization (AVC) method to grow high-quality, crack-free MAPbX3 perovskite single crystals at room temperature. The resulting crystals exceeded 100 mm3 in volume and exhibited exceptionally low trap-state density (approximately 10^9 – 10^10 cm-3). The crystal quality is comparable to high-quality single crystal silicon, but grown at much lower temperatures. Why it matters: This breakthrough allows for more accurate characterization of perovskite photovoltaic properties and can accelerate improvements in solar cell efficiency.
KAUST and Saudi Aramco have partnered to establish the Saudi Arabia Advanced Research Alliance (SAARA) and Technovia, a company focused on commercializing R&D in Saudi Arabia. SAARA includes KACST, KFUPM, TAQNIA, and RTI International, aiming to translate technology into commercially viable products. Technovia, located in Dhahran Techno Valley, will prepare technologies for market entry and secure external investment. Why it matters: This initiative aims to accelerate technology development and economic diversification in Saudi Arabia by bridging the gap between research and commercial applications, potentially fostering innovation across various industrial sectors.
KAUST researchers led by Pascal Saikaly are developing microbial electrochemical technologies (METs) for wastewater treatment and energy recovery. The team combines METs with membrane filtration, creating a hybrid air-biocathode microbial fuel cell-membrane bioreactor (MFC-MBR) for simultaneous wastewater treatment and ultrafiltration. This system uses an electrically conductive ultrafiltration membrane as a biocathode for electricity generation and passive oxygen transfer. Why it matters: This innovation offers a sustainable approach to water reclamation by reducing energy consumption and producing reusable water, which addresses critical water scarcity challenges in the region and globally.
KAUST announced the acquisition of a Cray XC40 supercomputer named Shaheen II, which will be 25 times more powerful than its current system. The investment aims to enhance KAUST's research capabilities and support collaborations with in-Kingdom organizations like Saudi Aramco and SABIC. Shaheen II will be used for simulations, climate modeling, and big data applications. Why it matters: This upgrade significantly boosts Saudi Arabia's high-performance computing infrastructure, enabling advanced research and development across various sectors and solidifying KAUST's position as a leading research institution.
A KAUST team led by Husam Alshareef has developed a microfabricated energy storage device with high energy and power density. The device uses nickel hydroxide as an active electrode material and achieves a volumetric capacitance density of 325 F/cm3. Fabricated using chemical bath deposition at room temperature, the device can power microelectronic devices. Why it matters: This research advances energy storage technology in the region, potentially impacting the development of microelectronics and portable power solutions.
A KAUST-led research team used acoustic readings to reassess fish populations in the ocean's mesopelagic zone (200-1000m depth). Published in Nature Communications, their findings indicate that mesopelagic fish quantities may be ten times greater than current estimates. The study also suggests that open-ocean ecosystems are as efficient as coastal regions in nutrient cycling. Why it matters: This discovery assigns mesopelagic fish a potentially significant, previously unrecognized role in the global carbon cycle and highlights KAUST's contribution to marine science.
CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) and the Qatar Computing Research Institute (QCRI) have announced a new research collaboration. This partnership aims to foster joint research projects and facilitate knowledge exchange between the two prominent AI research institutions. The collaboration is expected to leverage expertise from both sides in various AI domains. Why it matters: This partnership signifies a strengthening of AI research ties between a leading US institution and a major Middle Eastern research hub, potentially driving advancements relevant to the region and the broader AI field.
G42 and its portfolio company Analog have signed non-binding Memoranda of Understanding (MoUs) with Advanced Machine Intelligence (AMI Labs), co-founded by AI pioneer Yann LeCun. The agreements, signed during the UAE-France Business Dialogue, focus on frontier AI research, advanced compute infrastructure, sovereign cloud, and industrial applications, specifically the development of 'world models' for physical environments. This collaboration aims to merge AMI Labs' research with G42's AI infrastructure and Analog's Physical Intelligence platform to apply world models across various industries. Why it matters: This partnership signifies a major step in the UAE's pursuit of cutting-edge AI research, particularly in 'Physical Intelligence' and AI's interaction with the real world, reinforcing international technological cooperation between the UAE and France.
A new paper coauthored by researchers at The University of Melbourne and MBZUAI explores disagreement in human annotation for AI training. The paper treats disagreement as a signal (human label variation or HLV) rather than noise, and proposes new evaluation metrics based on fuzzy set theory. These metrics adapt accuracy and F-score to cases where multiple labels may plausibly apply, aligning model output with the distribution of human judgments. Why it matters: This research addresses a key challenge in NLP by accounting for the inherent ambiguity in human language, potentially leading to more robust and human-aligned AI systems.
A new paper from MBZUAI introduces JEEM, a benchmark dataset for evaluating vision-language models on their understanding of images grounded in four Arabic-speaking societies (Jordan, UAE, Egypt, and Morocco) and their ability to use local dialects. The dataset comprises 2,178 images and 10,890 question-answer pairs reflecting everyday life and culturally specific scenes. Evaluation of several Arabic-capable models (Maya, PALO, Peacock, AIN, AyaV) and GPT-4o revealed that while models can generate fluent language, they struggle with genuine understanding, consistency, and relevance, especially when cultural context is important. Why it matters: This research highlights the challenges of building AI systems that can truly understand and interact with diverse cultures, emphasizing the need for culturally grounded datasets and evaluation metrics.
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.