General AI research publications from MBZUAI, KAUST, TII, QCRI, and other GCC institutions, including conference papers, journal articles, and preprints.
MBZUAI had 22 papers accepted at ICLR 2023, with faculty Kun Zhang co-authoring seven of them. Yuanzhi Li, an affiliated assistant professor at MBZUAI, received an honorable mention for his paper on knowledge distillation. Additionally, a paper co-authored by MBZUAI President Eric Xing was recognized as a top 5% paper at the conference. Why it matters: MBZUAI's strong presence at a top-tier machine learning conference like ICLR demonstrates the university's growing influence and research capabilities in the global AI landscape.
MBZUAI is now ranked 19th globally in AI, computer vision, machine learning, and natural language processing according to CSRankings. The university is also top-ranked for computer science in the MENA region. MBZUAI's faculty has grown significantly, with more than 20 new members added in 2022 and Q1 2023, totaling 52. Why it matters: This ranking highlights the rapid rise of MBZUAI as a leading AI research institution in the Middle East, contributing to the UAE's ambitions to become a global AI hub.
MBZUAI has announced partnerships with IBT and BioMap to advance AI applications in healthcare. The collaboration with IBT will focus on developing personalized digital therapeutics for brain health. The partnership with BioMap will establish a biocomputing innovation research lab in the Middle East focused on AI-generated proteins. Why it matters: These partnerships highlight MBZUAI's commitment to leveraging AI for personalized healthcare solutions and establishing the UAE as a hub for biocomputing innovation.
MBZUAI and BioMap have signed an MoU to establish the first biocomputing innovation research lab in the Middle East, located on MBZUAI's campus. The collaboration will focus on applying AI protein generation to life science models, addressing needs in drug design, energy, and environmental protection. The lab will research de novo design of oil degradation enzymes and identify drug targets for aging-associated and rare diseases. Why it matters: This partnership signals a growing focus on applying AI to critical life science challenges in the region, potentially leading to breakthroughs in drug discovery and sustainable energy solutions.
MBZUAI faculty, researchers, and students will present 34 papers at the 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023). Fahad Khan is a co-author on 11 accepted papers, while Salman Khan and Shijian Lu have 10 and 9 papers, respectively. One paper focuses on person image synthesis via a denoising diffusion model, and another introduces PromptCAL for generalized novel category discovery. Why it matters: This large volume of acceptances at a top-tier conference highlights MBZUAI's growing prominence and research contributions in computer vision, with potential impact across various industries from online retail to autonomous driving.
MBZUAI and IBM have launched an AI Center of Excellence to drive sustainability. The center will focus on developing carbon-neutral energy solutions and improving natural language processing for Arabic dialects. Joint research will focus on decarbonization, climate change mitigation, and foundational AI models to support renewable energy. Why it matters: This initiative addresses critical regional needs in sustainability and Arabic NLP, aligning with the UAE's AI strategy and COP28 goals.
MBZUAI's president highlighted the university's rapid growth in faculty, students, and academic influence in 2022, including rising into the top 25 globally in AI-related fields per CSRanking.org. Faculty published over 350 papers in high-impact conferences and journals and grew by 80% since 2021 to 49 members. The student body also grew, with an increased percentage coming from top undergraduate institutions, and the number of Emirati students rose to 36. Why it matters: This signals the UAE's commitment to establishing a world-class AI research and education ecosystem, attracting global talent and contributing significantly to AI advancements.
HPE is building a new supercomputer for MBZUAI to accelerate AI research and advance the UAE’s National Strategy for AI. The supercomputer will enhance MBZUAI's ability to run complex AI models and increase predictability in research analyses in fields like energy, transportation, and the environment. The Campus Super Computing Center (CSCC) will house the new supercomputer. Why it matters: This investment strengthens the UAE's AI capabilities and its position as a global leader in AI research and development.
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has appointed Professor Dr. Eric Xing as its new president, succeeding Interim President Professor Sir Michael Brady. Dr. Xing joins from Carnegie Mellon University, where he was Associate Department Head of Research at the Machine Learning Department. He is a globally recognized AI academic and will lead MBZUAI in developing AI and AI solutions as the first graduate student cohort commences studies. Why it matters: This appointment signals MBZUAI's commitment to attracting top global talent and advancing its mission as a leading AI research institution in the UAE.
MBZUAI researchers are working on digital twin technology that can replicate human beings in detail, with real-time data flow between the physical and virtual. This project aims to extend digital twins from objects to organic entities like humans, plants and animals. The technology mines data from cameras, sensors, wearables, and other sources to predict health issues before they arise. Why it matters: This research has the potential to transform healthcare by enabling the prediction and prevention of health issues.
MBZUAI researchers led by Dr. Mohammad Yaqub are developing AI algorithms for real-time medical diagnoses, including tools for multiple sclerosis and congenital heart disease. The team developed ScanNav, an AI fetal anomaly assessment system licensed by GE Healthcare for Voluson SWIFT ultrasound machines. ScanNav assists doctors during anomaly scans after 20 weeks of gestation to check for conditions like heart issues and spina bifida. Why it matters: This research has the potential to significantly improve the speed and accuracy of medical diagnoses in the UAE and beyond, addressing critical gaps in healthcare.
Michael I. Jordan, a UC Berkeley Distinguished Professor and influential figure in machine learning and AI, has been appointed laureate professor at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). He will also serve as honorary director of MBZUAI's new Laureate Faculty Program. The program aims to attract leading researchers to MBZUAI by providing resources and minimizing administrative burdens. Why it matters: This appointment strengthens MBZUAI's reputation and enhances the UAE's AI ecosystem by bringing in a world-renowned AI expert to foster research and innovation.
MBZUAI's Dr. Mohammad Yaqub is developing AI algorithms to power point-of-care ultrasound (PoCUS) on mobile devices, expanding on his prior work on an AI-based fetal anomaly system used in GE Healthcare's ultrasound. These algorithms aim to make smaller, affordable PoCUS devices accessible in remote areas for faster diagnoses. The handheld devices, costing around $5000 USD, can connect to mobile devices and provide intelligence to interpret images, addressing the shortage of specialists in remote locations. Why it matters: This initiative democratizes access to critical diagnostic tools, potentially saving lives by enabling early detection of life-threatening conditions in underserved communities.
MBZUAI and Abu Dhabi Health Services Company (SEHA) are collaborating to develop AI algorithms to predict heart attacks months in advance with 87% accuracy using ultrasound images. The project aims to preemptively predict heart attacks in the short and long term, addressing the high rates of cardiac arrest, especially in the Middle East. A Memorandum of Understanding (MoU) was signed between SEHA and MBZUAI to integrate AI into healthcare. Why it matters: This partnership could significantly improve healthcare outcomes in the region by leveraging AI to proactively address heart disease, a leading cause of death.
MBZUAI and IBM have announced a strategic collaboration to advance AI research by establishing a new AI Center of Excellence at MBZUAI's Masdar City campus. The center will leverage IBM researchers in collaboration with MBZUAI faculty and students, focusing on advancing both fundamental and applied AI research. The collaboration aims to develop and incubate AI technologies addressing civic, social, and business challenges. Why it matters: This partnership enhances the UAE's AI capabilities, fostering innovation and talent development in critical sectors such as healthcare and finance.
MBZUAI and the Weizmann Institute of Science have launched a joint AI Research Program. The program will foster collaborative projects, training, and exchanges in AI fields like machine learning, computer vision, and NLP. The initiative aims to advance both basic and applied AI research, particularly in healthcare and genomics. Why it matters: This partnership signifies growing international collaboration in AI research within the UAE and could accelerate breakthroughs in key AI applications.
SEHA and MBZUAI have signed an MoU to integrate AI into medical care and enhance clinical expertise. They will collaborate on AI-driven solutions for quantifying COVID-19 infection severity and study its long-term impact on UAE residents. The partnership will also focus on diagnosis and treatment methods for acute kidney injury, coronary artery disease, fetal health, and AI-driven point of care ultrasound. Why it matters: This collaboration between a major healthcare provider and an AI university in the UAE could lead to advancements in AI-driven healthcare solutions and improve patient outcomes.
MBZUAI and Israel’s Weizmann Institute of Science have signed an MoU to collaborate on AI research, marking the first agreement of its kind between higher education institutes in the UAE and Israel. The collaboration includes student and researcher exchange programs, joint seminars, shared computing resources, and the establishment of a joint virtual AI institute. The partnership follows the normalization of relations between the UAE and Israel. Why it matters: This collaboration fosters international cooperation in AI research and development within the region, with potential long-term benefits for technological advancement.
MBZUAI and Virgin Hyperloop have signed an MoU to collaborate on AI research and innovation for the transportation sector. The partnership will focus on joint research in computer vision, cloud computing, and commercial projects in smart transportation. Hyperloop aims to transport passengers and goods at speeds exceeding 1,000km/h, becoming a sustainable means of mass transportation. Why it matters: This collaboration highlights the UAE's focus on using AI to advance transportation technology and its ambition to become a global hub for innovation in the region.
Malaria No More, the Crown Prince Court of Abu Dhabi, and the Reaching the Last Mile program launched the Institute for Malaria and Climate Solutions (IMACS) to combat malaria amidst climate change. Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI) joined as a technical partner, providing research support leveraging AI and data science. The initiative aims to develop and implement AI-driven strategies to address the impact of climate change on malaria transmission. Why it matters: This partnership highlights the UAE's commitment to using AI for global health challenges, particularly in combating climate-sensitive diseases like malaria.
Michael I. Jordan, a renowned AI researcher from UC Berkeley, has joined Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) as a laureate professor and honorary director of the Laureate Faculty Program. MBZUAI President Eric Xing highlighted Jordan's significant influence in machine learning, noting his role as a mentor. Jordan aims to guide AI researchers and advise the university as it seeks to become a global leader in AI. Why it matters: This appointment strengthens MBZUAI's position as a prominent AI research institution in the Middle East by attracting top-tier international talent and fostering a conducive environment for cutting-edge research.
G42 has launched Nanda 87B, an open-source Hindi-English LLM developed by MBZUAI in collaboration with Inception and Cerebras. Nanda 87B is built upon Llama-3.1 70B and trained on a dataset with over 65 billion Hindi tokens. The model is engineered for real-world use being fluent in formal Hindi, casual speech, and Hinglish, and is designed for translation, summarization, instruction-following, and transliteration tasks. Why it matters: This release marks a major advancement in creating inclusive AI technology tailored for one of the world's largest linguistic communities.
G42 and Cerebras, in partnership with MBZUAI and C-DAC, will deploy an 8 exaflop AI supercomputer in India. The system will operate under India's governance frameworks, ensuring data sovereignty and security. It aims to democratize access to AI innovation for researchers, startups, and government entities. Why it matters: This initiative significantly enhances India's AI infrastructure and promotes sovereign AI capabilities for local innovation while strengthening UAE-India strategic ties.
MBZUAI researchers have developed 'Byzantine antidote' (Bant), a novel defense mechanism against Byzantine attacks in federated learning. Bant uses trust scores and a trial function to dynamically filter and neutralize corrupted updates, even when a majority of nodes are compromised. The research was presented at the 40th Annual AAAI Conference on Artificial Intelligence.
MBZUAI has launched the Ruwwad AI Scholars (RAIS) program, a postdoctoral fellowship for Emirati Ph.D. graduates to undertake two-year, fully-funded research positions at leading global institutions. The program aims to cultivate local talent in AI and computational research, with the goal of strengthening participants' eligibility for faculty positions at MBZUAI. The fellowship covers a stipend, research funds, insurance, relocation support, and conference travel.
MBZUAI has received a Google Academic Research Award to study how AI can better understand and respond to human loneliness in digital spaces. The project will examine how loneliness is expressed online, how conversational agents can detect it, and what healthier AI companionship could look like. The research aims to define digital loneliness and address the potential negative impacts of AI chatbots on users.
Researchers in Abu Dhabi developed H-SURF, a swarm of bio-inspired robotic fish for underwater data collection. Funded by the Technology Innovation Institute (TII) and conducted at Khalifa University, H-SURF uses swarm intelligence and optical communication to minimize disturbance to marine life. The project was recently recognized with the Sheikh Hamdan bin Zayed Award for Environmental Research.
MBZUAI researchers release JEEM, a new benchmark dataset for evaluating vision-language models on Arabic dialects. The dataset covers image captioning and visual question answering tasks using images from Jordan, UAE, Egypt, and Morocco. Results show models struggle with cultural understanding and relevance despite fluent language generation.
Dubai Police has stated that deepfake technology is becoming increasingly sophisticated. The force highlighted the growing difficulty in accurately detecting and distinguishing deepfake content from genuine material. This development poses significant challenges for law enforcement agencies in combating misinformation and digital crime. Why it matters: This official statement from a major regional law enforcement body underscores the urgent need for advanced detection technologies and robust public awareness to address the evolving threat of AI-generated malicious content.
A recent report from the UAE has investigated the substantial energy and water demands associated with powering artificial intelligence infrastructure. The study addresses the critical challenges of developing and sustaining AI capabilities within a region characterized by acute water scarcity. It likely proposes strategies and policy recommendations to mitigate the environmental impact of AI growth. Why it matters: This report underscores the urgent need for sustainable AI development models and resource management strategies, particularly in water-stressed regions like the Middle East.
The article from The National discusses the importance of widespread access and usability of artificial intelligence to maximize its societal benefits. It likely emphasizes that for AI to be truly effective, it must be designed and deployed in a way that empowers all individuals and communities to utilize its capabilities. The piece advocates for policies and frameworks that promote inclusivity in AI development and adoption across the region. Why it matters: Ensuring equitable access to AI is crucial for the Middle East to foster innovation, drive economic growth, and prevent digital divides as AI technologies become more pervasive.
A report from the UAE examines the challenges and strategies for powering artificial intelligence infrastructure in a region characterized by water scarcity. The study likely delves into energy consumption for data centers, cooling methods, and sustainable practices relevant to AI development. It aims to provide insights into mitigating the environmental impact of AI while fostering technological growth. Why it matters: This report highlights critical sustainability challenges for AI development in the Middle East, particularly concerning energy and water resources, and offers a framework for responsible innovation in a resource-constrained environment.
King Abdullah University of Science and Technology (KAUST) generates US$5.6 billion in economic value for Saudi Arabia annually, according to an independent assessment. This contribution includes supporting approximately 28,800 full-time equivalent jobs across the Kingdom and directly contributing US$2.2 billion to Saudi Arabia's GDP. The assessment applied internationally established methodologies, similar to those used by Oxford and Cambridge, to measure the economic value created through research, graduates, startups, and wider university activities. Why it matters: This report highlights the significant economic contribution of a major research institution to Saudi Arabia's national development goals and diversification efforts, including its role in fostering innovation and job creation.
A recent survey conducted by JetBrains revealed that 90% of developers are currently using AI coding agents in their professional work. This finding highlights a significant integration of artificial intelligence tools into the daily workflow of software development. The survey data indicates a widespread adoption of AI-powered assistance among the global developer community. Why it matters: This trend signifies a critical evolution in software development practices that will impact productivity, skill requirements, and infrastructure demands across the Middle East's tech industry.
A UAE delegation recently engaged in discussions with the United States to enhance technology cooperation. These high-level talks focused on strengthening bilateral relations in various technological domains. The engagement aims to deepen collaboration across different sectors. Why it matters: Such diplomatic efforts are vital for fostering international partnerships and facilitating potential joint ventures and investments that can advance the region's technological landscape.
Donald Trump has announced that Jay Clayton, former chairman of the US Securities and Exchange Commission, will lead a task force focused on AI "super intelligence." This initiative is intended to address the complexities and rapid advancements in artificial intelligence. The task force aims to shape future US policy and strategy regarding advanced AI development and governance. Why it matters: This announcement signals a high-level focus on AI regulation and national strategy by a potential future US administration, which could significantly influence global AI policy discussions and investment trends, including those in the Middle East.
An upcoming summit in Abu Dhabi will address key topics surrounding artificial intelligence, focusing on AI safety and the rapid rise of advanced technologies. The discussions aim to explore the implications and responsible development of AI. This event highlights Abu Dhabi's commitment to shaping the global discourse on AI governance and ethical considerations. Why it matters: Such a summit in a prominent regional AI hub like Abu Dhabi underscores the UAE's proactive approach to navigating the challenges and opportunities presented by advanced AI development.
This paper presents an automated ArcGIS Pro tool using ArcPy to extract Land Surface Temperature (LST) from Landsat 7, 8, and 9 satellite datasets. The tool automates multi-step workflows like radiometric calibration and emissivity correction, reducing processing time from 11-58 minutes manually to 4-11 minutes. It was successfully tested with data from Ras Al Khaimah (RAK) in the UAE, demonstrating accurate LST mapping compatible with local weather conditions, and includes an optional Large Language Model (LLM) for statistical result interpretation and reporting. Why it matters: This tool offers a practical application of AI and automation for environmental monitoring in the UAE, significantly improving efficiency and accuracy in remote sensing for climate research and urban planning.
Google is exploring the concept of placing AI data centers in space to address terrestrial challenges such as high energy consumption and cooling requirements. Experts, however, have raised significant concerns regarding the feasibility of such an endeavor, citing high launch costs, radiation exposure, and the complexities of maintaining hardware in a zero-gravity environment. The initiative aims to leverage the natural vacuum of space for efficient cooling and access to abundant solar energy. Why it matters: This futuristic approach could revolutionize AI infrastructure by mitigating its environmental footprint and unlocking new computational capabilities, despite the substantial engineering and logistical hurdles.
The UAE is facing escalating cyber risks as artificial intelligence reshapes both offensive cyber attacks and defensive strategies. AI tools are enabling more sophisticated and pervasive threats, challenging existing cybersecurity frameworks. This transformation necessitates advanced defensive measures and policy adjustments to protect national digital assets and infrastructure. Why it matters: The growing cyber threat landscape, exacerbated by AI, necessitates advanced defensive strategies and policy adjustments for the UAE to secure its digital economy and critical infrastructure.
Microsoft has ranked the UAE as the sixth most frequent target for cyberattacks globally, according to a report by The National. This high ranking indicates a significant volume of cyber threats directed at the country's digital infrastructure. The data underscores the persistent and evolving nature of cybersecurity challenges facing the UAE. Why it matters: This highlights the critical need for robust cybersecurity measures and AI-powered defense strategies within the UAE to protect its digital infrastructure and economic stability.
The article from thenationalnews.com examines former US President Donald Trump's efforts to redefine Artificial Intelligence (AI) as 'super-intelligence.' It discusses the various forms of opposition this rebranding initiative has encountered. The piece likely delves into the reasons behind this resistance, potentially touching upon scientific accuracy, public perception, or policy implications of such terminology changes. Why it matters: The way influential political figures characterize AI can significantly impact public understanding, shape policy debates, and affect the direction of ethical considerations in the rapidly developing field of AI, both globally and within the Middle East.
Employers in Dubai are increasingly seeking candidates with artificial intelligence (AI) skills for various roles across industries. This trend reflects the rapid adoption of AI technologies within the emirate's business landscape. Companies are looking for expertise in areas such as machine learning, data science, and AI development to drive innovation and digital transformation. Why it matters: This shift indicates a growing demand for a skilled AI workforce in the region, influencing educational curricula and talent development strategies.
AI is projected to add a significant sum, potentially $6 trillion, to the global economy within the next decade, with some forecasts suggesting even higher figures by 2030. This economic impact would be comparable to the GDPs of major global economies such as Germany or India, underscoring its transformative scale. Major consulting firms and financial institutions have released reports forecasting this substantial growth, driven by AI adoption across various sectors. Why it matters: Understanding the immense economic potential of AI helps inform national strategies and investments in technology and innovation within the Middle East and globally.
A study reported by The National News suggests that AI-generated summaries possess the capability to manipulate human memories. The research indicates that exposure to AI-condensed information can lead individuals to form false recollections or alter existing ones. This phenomenon raises significant concerns regarding the reliability and integrity of information consumption in the era of widespread AI tools. Why it matters: This highlights critical ethical implications for AI development and deployment in the Middle East and globally, particularly concerning applications in news dissemination, education, and public discourse.
KAUST researchers have developed a new artificial intelligence model designed to improve the efficiency and accuracy of mineral exploration activities in Saudi Arabia. This model aims to identify promising geological sites for mineral deposits more effectively. The initiative supports Saudi Arabia's efforts to diversify its economy and enhance its mining sector capabilities. Why it matters: This development could significantly accelerate the discovery of new mineral resources, bolstering the Kingdom's economic diversification goals and positioning it as a leader in AI-driven natural resource management.
Bain & Company estimates that the AI industry must generate an additional $6 trillion in annual revenue by 2030 to justify the current global boom in data center construction. The consulting firm's analysis highlights a significant gap between the escalating capital expenditure on AI infrastructure and the projected monetizable applications and services. This report suggests that the rapid expansion of AI data centers may lead to overcapacity if revenue generation does not keep pace with investment. Why it matters: This projection raises critical questions about the sustainability and profitability of the massive AI infrastructure investments being made globally, including in the Middle East, and emphasizes the urgent need for tangible AI product development and effective monetization strategies.
King Abdullah University of Science and Technology (KAUST) has developed an artificial intelligence model designed to enhance the efficiency and accuracy of mineral exploration. This new AI tool aims to analyze vast geological datasets to identify potential mineral deposits across the Kingdom. The initiative supports Saudi Arabia's strategic objectives to diversify its economy and strengthen its burgeoning mining sector. Why it matters: This development showcases the application of advanced AI in critical industrial sectors, contributing directly to Saudi Arabia's economic diversification and resource management strategies.
A Middle East Institute analysis suggests that ongoing geopolitical conflicts are serving as a catalyst for deeper strategic technological cooperation between Gulf states and the United States. The report likely examines how shared security concerns and the imperative for advanced capabilities are accelerating partnerships in areas such as artificial intelligence and critical infrastructure. It points to a growing alignment between regional ambitions for technological self-sufficiency and US strategic interests in the Middle East. Why it matters: This evolving dynamic could significantly influence the development of AI ecosystems in the Gulf, fostering regional innovation while strengthening bilateral strategic alliances.
Emirates Foundation has partnered with Responsible AI to harness artificial intelligence for global good initiatives. This collaboration was announced during the United Nations General Assembly (UNGA) to explore ethical and beneficial applications of AI. The initiative aims to leverage AI technologies to address pressing global challenges in various sectors. Why it matters: This partnership underscores a growing commitment from UAE-based organizations to contribute to international discussions on AI governance and the ethical development and deployment of AI for societal benefit.