UAE President Sheikh Mohamed bin Zayed Al Nahyan visited MBZUAI and was briefed on academic programs, research areas, and partnerships. Researchers presented AI projects spanning energy, climate, medicine, genetics, media, and robotics, and two start-ups from the university’s incubator showcased their work. MBZUAI President Professor Eric Xing noted the university's ranking as 10th globally in AI fields. Why it matters: The visit underscores the UAE's commitment to developing national AI talent and building a knowledge-based economy with AI at its core.
MBZUAI alumnus Ikboljon Sobirov is using AI to develop new diagnostic tools for cardiovascular disease at the University of Oxford. His research focuses on building imaging biomarkers by integrating transcriptomic data with medical scans. The goal is to predict how a patient will respond to specific medications using only images. Why it matters: This work showcases the potential of AI and multi-modal data to personalize medicine and improve healthcare outcomes in the region and globally.
MBZUAI hosted the third edition of its Mailis program, focusing on AI's role in redefining the workplace and strengthening the UAE’s innovation ecosystem. The session brought together entrepreneurs, policymakers, and innovators from Abu Dhabi’s government, business, and startup sectors to discuss AI integration. Leaders from organizations like Khalifa Fund and Hub71 shared updates on AI initiatives, while MBZUAI showcased AI tools that can act as a co-founder. Why it matters: This event highlights the UAE's commitment to fostering AI adoption and collaboration across sectors, positioning the country as a leader in responsible AI innovation.
MBZUAI Associate Professor Mohammad Yaqub is focused on translating AI research into real-world healthcare solutions. His previous work includes the development of SanNav, an AI-based fetal anomaly detection system that became an FDA-approved product used by GE Healthcare and used on his own wife during pregnancy. Yaqub joined MBZUAI to help build a new model of AI research and education with a focus on interdisciplinary collaboration and industry partnerships. Why it matters: This highlights the UAE's growing focus on AI in healthcare and MBZUAI's role in bridging the gap between research and practical applications in the medical field.
MBZUAI has opened admissions for the Fall 2026 intake for both undergraduate and graduate programs. The university highlights its rapid rise to a global top 10 AI institution in just five years. Early submission is encouraged, with applications reviewed on a rolling basis via the university's online portal. Why it matters: This signals MBZUAI's continued growth and commitment to attracting international talent to advance AI research and education in the UAE.
MBZUAI welcomed over 400 students this semester, including its inaugural undergraduate cohort. The university received over 8,000 applications for its Bachelor and graduate programs, with a 5% acceptance rate. The newly launched Bachelor of Science in AI program offers streams in AI for Business and AI for Engineering. Why it matters: This expansion, particularly the undergraduate program, supports the UAE's National Strategy for AI 2031 and strengthens Abu Dhabi's growing AI ecosystem.
MBZUAI has joined the Aspen Institute’s Technology Leaders Initiative as a founding partner, alongside the Institute for Ethics in AI at the University of Oxford. This two-year program within the Aspen Global Leadership Network will convene 20 senior leaders from the global technology ecosystem. The initiative aims to explore ethical innovation, responsible leadership, and the societal impact of technology. Why it matters: The partnership highlights MBZUAI's commitment to fostering responsible AI development and ethical leadership in the technology sector.
MBZUAI and the Manara Center for Coexistence and Dialogue hosted a panel discussion at the Abrahamic Family House in Abu Dhabi on the role of faith in the age of AI. The panel featured scholars, religious leaders, and AI experts including MBZUAI President Eric Xing. Panelists discussed the differences between human consciousness/spirituality and AI capabilities, emphasizing the human capacity for higher consciousness, empathy, and collective understanding. Why it matters: The event highlights the UAE's focus on ethical AI development that considers the intersection of technology, spirituality, and human values.
Sheikh Khaled bin Mohamed bin Zayed Al Nahyan attended MBZUAI's 2025 commencement ceremony for 104 graduates across Computer Vision, Machine Learning, and Natural Language Processing. He congratulated the students and emphasized the UAE's commitment to becoming a global AI hub. The ceremony was attended by several high-profile UAE officials and MBZUAI leadership. Why it matters: This event highlights the UAE's continued investment in AI education and its strategic focus on developing local talent in key AI specializations.
Maryam Ahmed Hassani, an MBZUAI graduate and head of trends and innovation at Abu Dhabi’s Early Childhood Authority (ECA), is integrating AI into early childhood development to create efficient and human-focused systems. She aims to develop tools that personalize support for parents and predict developmental risks early on. Hassani also co-founded Zealous, an AI startup focused on AI code generation and testing, launching AI-native products including an AI-automated tester for websites and web apps. Why it matters: This highlights the growing application of AI in public sector challenges within the UAE, specifically in early childhood development and software development.
MBZUAI will participate as an official partner at Machines Can See 2025 (MCS 2025) during Dubai AI Week, showcasing AI innovation with expert speakers and live demos. MBZUAI will present BiMediX2, a multimodal virtual assistant that answers medical questions in Arabic and English and won Meta’s Llama Impact Innovation Award. They will also demonstrate Voodoo XP, a one-shot face re-enactment tool, and LAIKA, an AI-powered robot dog. Why it matters: This event highlights MBZUAI's contributions to AI and robotics, strengthening the UAE's position as a leader in science and technology, especially in healthcare and advanced robotics.
Dr. Farida Al Hosani, a UAE public health leader and MBZUAI Executive Program graduate, has been at the forefront of the nation’s public health strategy, specializing in infectious diseases. She emphasizes the growing importance of AI in healthcare, particularly in areas like early detection, drug discovery, and public health strategies. Al Hosani has worked on several AI initiatives, including building algorithms and predictive modeling systems to bridge gaps in human health, especially in prevention. Why it matters: This highlights the increasing role of AI in transforming healthcare in the UAE, with public health leaders leveraging AI tools to improve disease prevention and treatment.
The Augmented Humans International Conference 2025 (AHs) was held at MBZUAI in Abu Dhabi, focusing on technology's role in advancing human capabilities. The conference, in cooperation with ACM, attracted over 180 researchers to discuss innovations from AI-enhanced storytelling to AI-enhanced prosthetics. The program included talks, papers, posters, demonstrations, and workshops on topics like AR/VR interaction, bionic systems, and cognitive augmentation with AI. Why it matters: Hosting AHs at MBZUAI highlights the UAE's growing role as a hub for AI research and its applications in enhancing human potential.
A Deloitte report in collaboration with MBZUAI surveyed 150+ business leaders in UAE, KSA, and Qatar, finding that 69% of organizations plan to increase AI investments in the next year. However, over 80% of organizations feel pressured to adopt AI, with almost half lacking the necessary talent and technology for successful scaling. The report highlights a disconnect between the desire to deploy AI and the actual readiness of organizations in terms of talent, strategic planning, and infrastructure. Why it matters: This study underscores the urgent need for Middle Eastern organizations to address talent gaps and strategic planning to effectively leverage AI investments and achieve desired outcomes.
MBZUAI's Undergraduate Research Internship Program (UGRIP) is a one-month summer program in Abu Dhabi for promising AI students. Launched in 2023, UGRIP aims to expose undergraduates to AI research and talent development. In 2025, around 60 interns will join the program to work on research projects and receive mentorship from faculty. Why it matters: The program strengthens Abu Dhabi's position as a hub for AI research and attracts global talent.
A talk discusses the challenges of single-cell data analysis, such as feature sparsity and the effects of rare cells. AI/ML strategies are uniquely positioned to model this data. ImYoo, a startup founded in 2021, is applying single-cell model architectures for unsupervised discovery of patient groupings and predicting sample-level phenotypical data in autoimmune disease. Why it matters: This highlights the growing application of AI/ML in analyzing single-cell data for population-scale human health studies, an area ripe for innovation and improvement in the Middle East's growing biotech sector.
Caltech graduate student Surya Narayanan Hari presented his research on replicating human-like memory in machines at MBZUAI. He discussed how the thalamus, which filters sensory and motor signals in the brain, inspires the development of routed monolithic models in AI. Hari explained that memory retrieval occurs on object, embedding, and circuit levels in the human brain. Why it matters: This talk highlights the potential of neuroscience-inspired AI architectures for improving memory and information processing in AI systems, which could accelerate the development of more efficient and context-aware AI models in the region.
MBZUAI hosted a panel discussion in collaboration with the Manara Center for Coexistence and Dialogue. The discussion focused on the intersection of AI and medical image computing. Jiebo Luo, a professor at the University of Rochester, discussed his work on applying AI to healthcare, including moving beyond classification to semantic description and expanding use from hospitals to home telemedicine. Why it matters: This highlights the increasing focus on AI applications in healthcare within the Middle East, particularly at institutions like MBZUAI, which are fostering discussions on the ethical and practical implications of AI in medicine.
A partner at Oblon, Stefan Uwe Koschmieder, explained key points for patenting software and AI inventions. Koschmieder works with GCC universities on IP programs and advises foreign clients on IP portfolio management. He also lectured at Freie Universität Berlin on Intellectual Property. Why it matters: As software and AI innovation grows in the GCC, understanding patent law is increasingly important for protecting intellectual property and fostering local innovation.
Saber Salehkaleybar from EPFL presented a talk on causal discovery, focusing on learning causal relationships from observational data and through interventions. He discussed an approximation algorithm for experiment design under budget constraints, with applications in gene-regulatory networks. The talk also covered improvements to reduce the computational complexity of experiment design algorithms. Why it matters: Causal AI systems can lead to more intelligent decision-making in various fields.
This article discusses the use of artificial intelligence in precision oncology, particularly in understanding individual tumor mechanisms and aiding clinical decision-making. Dr. Xinghua Lu, with extensive experience in medicine and biomedical informatics, will present research on individualized Bayesian causal inference methods for investigating oncogenic mechanisms. These methods aim to provide clinical decision support at the cellular, tumor, and patient levels. Why it matters: AI-driven precision oncology can enable more personalized and effective cancer treatments, improving patient outcomes in the region and globally.
Shahar Harel, Head of AI at Quris, presented a BIO-AI approach to drug safety assessment using a 'patient-on-a-chip' platform. This platform simulates the human body and generates high-frequency microscopy and biochemical data on drug interactions, considering patient genomics and ethnicity. The data is used to train multimodal deep learning models to predict drug safety and provide patient-specific recommendations. Why it matters: This approach offers a potential alternative to animal models, promising faster and more personalized drug development while reducing safety concerns.
Dr. James She from Hamad Bin Khalifa University will give a talk on AI for Art, Culture and Heritage, covering history, trends, opportunities, and potential impacts in the Gulf region. His research focuses on AI and multimedia technologies for art, media, culture, and human creativity, with recent artworks using AI for cultural or heritage content in Arabic regions. He was also a visiting artist-in-residency at Fire Station Museum, Qatar Museums in 2020-2021. Why it matters: This lecture highlights the growing interest and applications of AI in preserving and promoting cultural heritage within the Gulf region, potentially fostering innovation in art and culture.
A report discusses using AI to optimize healthcare delivery across the entire medical process cycle, including pre-hospital screening, in-hospital treatment, and post-hospital rehabilitation. It considers optimal management of workflow, medical resources, and comprehensive healthcare coverage. Dr. Jingshan Li from Tsinghua University is the author, with extensive publications and experience in production and healthcare systems. Why it matters: AI-driven improvements to healthcare processes could lead to better resource allocation and enhanced patient outcomes across the GCC region.
Joonhyuk Kang from KAIST gave a presentation at MBZUAI on AI's impact on wireless communication. The talk covered how communication systems can improve AI and how AI can develop wireless systems. Kang's research interests include signal processing for information transmission, security, and machine cognition. Why it matters: This talk highlights the growing intersection of AI and communication technologies in the region, with potential applications for smart cities and autonomous systems.
This article discusses the application of AI in semiconductor chip design and manufacturing, with a focus on examples such as IR-drop estimation and lithography processes. It mentions Youngsoo Shin, a KAIST professor and founder of Baum, who is an expert in this area. The article also briefly mentions panel discussion hosted by MBZUAI. Why it matters: AI-driven chip design and manufacturing could accelerate semiconductor innovation in the GCC region and beyond.
Dr. Zhiqiang Lin from Ohio State University presented the Security-Enhanced Radio Access Network (SE-RAN) project to address cellular network threats using O-RAN. The project includes 5G-Spector, a framework for detecting L3 protocol exploits via MobiFlow and MobieXpert, and 5G-XSec, a framework leveraging deep learning and LLMs for threat analysis at the network edge. Dr. Lin also outlined a vision for AI convergence with cellular security for enhanced threat detection. Why it matters: Enhancing 5G security through AI and open architectures is critical for protecting next-generation mobile networks in the GCC region and globally.
Researchers have developed robotic path-planning and control algorithms for minimally invasive surgery (MIS) that steer flexible needles, incorporating teleoperation and haptic feedback. An AI algorithm was designed to predict target motion due to respiratory movement, improving needle placement accuracy. GANs were used to generate synthetic images visualizing organ and tumor motion. Why it matters: This research demonstrates the potential of AI and robotics to enhance precision and adaptability in MIS, potentially reducing patient trauma and improving recovery times in the region and beyond.
A professor from Nanyang Technological University (NTU), Singapore gave a talk at MBZUAI about "Just-Noticeable Difference (JND)" models in visual intelligence. The talk covered visual JND models, research and applications, and future opportunities for JND modeling. JND can help tackle big data challenges with limited resources by focusing on user-centric and green systems. Why it matters: Exploring JND could lead to advancements in AI applications related to visual signal processing, image synthesis, and generative AI in the region.
Maha Elgarf from NYU Abu Dhabi presented research on using social robots to stimulate creativity in children through subconscious mimicry, leveraging the 'chameleon effect'. The research involved a series of studies where children engaged in storytelling with a social robot, and their creativity was assessed. Elgarf also discussed using Large Language Models (LLMs) in education and challenges in the field. Why it matters: This explores innovative applications of social robotics and AI in education within the UAE, potentially enhancing children's learning and creativity.
MBZUAI student Ahmed AlShamsi and his team won the Gulf Hackathon for Cybersecurity in Oman for their Secure+ platform. Secure+ uses AI to detect phishing links, identify the source, and provide users with statistics about malicious emails. The platform allows users to browse links safely on the Secure+ server. Why it matters: The award highlights the growing entrepreneurial ecosystem around cybersecurity and AI in the GCC, fostered by initiatives like CyberE71 and guidance from leaders like Dr. Mohamed Al Kuwaiti.
Professor Cesare Stefanini will discuss the relationship between AI and natural systems, highlighting robotics inspired by nature. His talk will cover neuro-inspired robot control, bio-hybrid ecosystems, and advancements in biomedical and industrial robotics. Stefanini will share achievements in underwater robot locomotion, AI-powered biomedical systems, and industrial platforms enhancing human manipulation. Why it matters: The talk at Khalifa University reflects the UAE's interest in bio-robotics research and integrating AI into various sectors, potentially fostering collaborations and advancements in the field.
Eliseo Ferrante from NYU Abu Dhabi presented work on increasing the controllability of swarm robotics systems. The research covers microscopic control via implicit intelligent leaders and macroscopic control via automated generation of swarm behaviors. Grammatical evolution and generative AI methods are used to produce collective behaviors aligned with human specifications. Why it matters: This research enhances the applicability of swarm robotics in real-world scenarios by improving control and coordination, potentially impacting industries like logistics, environmental monitoring, and disaster response in the region.
This article discusses the need for a decentralized approach to AI, especially in contexts where data and knowledge are distributed. It highlights five key technical challenges: privacy, verifiability, incentives, orchestration, and crowdUX. The author, Ramesh Raskar from MIT Media Lab, advocates for integrating privacy tech, distributed verifiable AI, data markets, orchestration, and crowd experience into the Web3 framework. Why it matters: Decentralized AI could unlock new possibilities for collaboration and problem-solving in the region, particularly in sectors like healthcare and logistics where data is often siloed.
Doug Greenig, Group CEO and CIO of Florin Court Capital based in London and Abu Dhabi, discussed macro trends in 2024 and beyond. Florin Court's Programme has delivered strong returns since 2017, capturing macro themes through alternative markets. Prior to founding Florin Court, Doug held leadership roles at Man/AHL, Fortress Investment Group, and Goldman Sachs. Why it matters: The presence of a leading systematic asset manager like Florin Court in Abu Dhabi signals the growing importance of the UAE as a hub for sophisticated financial firms leveraging AI and quantitative strategies.
A senior lecturer at the University of New South Wales discussed the use of AI to improve early prognosis and personalized treatment plans for neurodegenerative diseases, cardiovascular imaging and multiomics. The lecture highlighted the potential of AI algorithms to detect subtle changes at early stages through advanced multiomics techniques and medical imaging analysis. The speaker has expertise in analyzing medical images and has collaborated with medical professionals to develop AI tools for diagnosis of cancer, neurodegenerative disease, and heart disease. Why it matters: AI-driven prognosis and treatment planning promises earlier intervention and improved outcomes for challenging diseases in the region.
IBM Fellow Dr. Tanveer Syeda-Mahmood gave a talk on the evolution of foundational models, covering multimodal fusion in healthcare and neuro-inspired AI for computer vision. She also discussed image-driven fact-checking of generative AI textual reports for responsible models. Dr. Syeda-Mahmood leads IBM's work in Multimodal Bioinspired AI and WatsonX features, and previously led the Medical Sieve Radiology Grand Challenge. Why it matters: The talk highlights the ongoing development and application of AI foundational models in critical areas like healthcare and responsible AI development, showing IBM's continued investment in these areas.
A Duke University professor presented a data-centric approach to optimizing AI systems by addressing the memory capacity and bandwidth bottleneck. The presentation covered collaborative optimization across algorithms, systems, architecture, and circuit layers. It also explored compute-in-memory as a solution for integrating computation and memory. Why it matters: Optimizing AI systems through a data-centric approach can improve efficiency and performance, critical for advancing AI applications in the region.
Natasa Przulj at the Barcelona Supercomputing Center is developing an AI framework that fuses multi-omic data to improve precision medicine. The framework uses graph-regularized non-negative matrix tri-factorization (NMTF) and network science algorithms for patient stratification, biomarker prediction, and drug repurposing. It is applied to diseases like cancer, Covid-19, and Parkinson's. Why it matters: This research can enable more personalized and effective treatments by leveraging complex biological data to understand disease mechanisms and tailor therapies.
Dr. Youcheng Sun from the University of Manchester presented on ensuring the trustworthiness of AI systems using formal verification, software testing, and explainable AI. He discussed applying these techniques to challenges like copyright protection for AI models. Dr. Sun's research has been funded by organizations including Google, Ethereum Foundation, and the UK’s Defence Science and Technology Laboratory. Why it matters: As AI adoption grows in the GCC, ensuring the safety, dependability, and trustworthiness of these systems is crucial for public trust and responsible innovation.
MBZUAI hosted a talk on causal AI, featuring Professor Jin Tian from Iowa State University. The talk covered enriching AI systems with causal reasoning capabilities, moving AI beyond prediction to understanding. Professor Tian shared research on causal inference and estimating causal effects from data, using a novel estimator with double/debiased machine learning (DML) properties. Why it matters: Causal AI can improve the explainability, robustness, and adaptability of AI systems, addressing limitations of purely statistical models.
Liangming Pan from UCSB presented research on building reliable generative AI agents by integrating symbolic representations with LLMs. The neuro-symbolic strategy combines the flexibility of language models with precise knowledge representation and verifiable reasoning. The work covers Logic-LM, ProgramFC, and learning from automated feedback, aiming to address LLM limitations in complex reasoning tasks. Why it matters: Improving the reliability of LLMs is crucial for high-stakes applications in finance, medicine, and law within the region and globally.
Paul Liang from CMU presented on machine learning foundations for multisensory AI, discussing a theoretical framework for modality interactions. The talk covered cross-modal attention and multimodal transformer architectures, and applications in mental health, pathology, and robotics. Liang's research aims to enable AI systems to integrate and learn from diverse real-world sensory modalities. Why it matters: This highlights the growing importance of multimodal AI research and its potential for advancements across various sectors in the region, including healthcare and robotics.
The article discusses the potential of AI-enabled assistive technologies to empower People with Disabilities (PWD), citing that over one billion people live with some form of disability globally. It highlights examples like communication tools, assistive robots, and smart visual aids, and emphasizes the need to address security and privacy concerns. The author, Ishfaq Ahmad from the University of Texas at Arlington, points out that with a growing global population, over two billion people will need assistive products by 2030. Why it matters: The piece advocates for using AI to tackle critical human rights issues and improve the lives of a significant portion of the global population in the face of increasing disability rates.
Christian Montag from Ulm University gave a talk about assessing attitudes towards AI, covering the IMPACT framework (Modality, Person, Area, Country/Culture, and Transparency). He discussed how factors like age, gender, personality, and culture relate to attitudes toward AI, and how those attitudes link to trust in automation and specific AI models like ChatGPT and Ernie Bot. Montag's research explores the intersection of psychology, neuroscience, behavioral economics, and computer science, focusing on the impact of AI on the human mind. Why it matters: Understanding public perception of AI is crucial for responsible development and deployment, especially in the Arab world where cultural and demographic factors can significantly shape attitudes.
MBZUAI has opened graduate admissions for the 2025/2026 academic year, offering five M.Sc. and five Ph.D. programs, alongside a new Master in Applied AI (MAAI). The MAAI program is designed for working professionals, focusing on applying AI to solve organizational and societal challenges, taught by MBZUAI faculty and international guest speakers. The university also provides fully-funded scholarships for its M.Sc. and Ph.D. programs in computer science, computer vision, machine learning, natural language processing, and robotics. Why it matters: This new program and scholarship offerings will help MBZUAI attract top talent and further establish itself as a leading AI research institution in the region.
MBZUAI researchers developed Human-in-the-Loop for Prognosis (HuLP), a new AI system designed to help physicians assess cancer progression by providing information about its predictions and allowing user intervention. The system aims to foster collaboration between physicians and AI, rather than replacing doctors. It was presented at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Why it matters: This research highlights the potential of AI to augment physician expertise in critical areas like cancer prognosis, improving patient care and treatment decisions.
Raisa Mahomed, CTO of OpusDigitech in Dubai and an MBZUAI Executive Program alumna, focuses on using AI to improve sustainability and ESG goals for energy companies. She joined MBZUAI in 2023 to deepen her understanding of AI's technical and business impact. The MBZUAI program provided her with a clearer understanding of AI implementation and its societal effects. Why it matters: This highlights MBZUAI's role in developing AI leadership in the UAE and fostering the use of AI for sustainable development in key sectors.
Freddy Jimenez, regional innovation lead for Pfizer in the Middle East, Africa, and Russia, is working to implement AI solutions for healthcare challenges in the UAE. Jimenez joined the Executive Education Program at MBZUAI to expand his knowledge and drive the country's healthcare industry forward. He emphasizes the importance of strategic approaches to AI in healthcare due to rapid technological advancements outpacing regulation. Why it matters: This highlights the UAE's focus on leveraging AI to improve healthcare outcomes and the importance of collaboration between industry, academia, and government to accelerate AI adoption in the heavily regulated healthcare sector.
The 31st International Conference on Computational Linguistics (COLING 2025) will be held in Abu Dhabi in January 2025, hosted by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). COLING is a major biennial NLP and AI conference that brings together leaders from research centers, academia, and industry. The conference will feature keynote talks, presentations, workshops, and tutorials, with 1,500 expected participants. Why it matters: Hosting COLING underscores the UAE's growing role in AI and NLP research and provides a platform to address regional linguistic challenges and advance AI technologies.