This article previews a presentation by Kevin Murphy (Google Brain) at MBZUAI on a unified perspective of machine learning, based on his book "Probabilistic Machine Learning: Advanced Topics". The presentation will cover the "4 pillars of ML": predictions, decisions, discovery and generation. Murphy will summarize recent methods and his own contributions in each of these tasks. Why it matters: Hosting prominent international AI researchers strengthens MBZUAI's position as a global hub for AI research and education.
A panel discussion was hosted at MBZUAI in collaboration with the Manara Center for Coexistence and Dialogue. The discussion centered on the potential of multimodal machine intelligence for human-centered applications, particularly in health and wellbeing. USC Professor Shrikanth Narayanan spoke on creating trustworthy and inclusive AI that considers protected variables. Why it matters: This signals MBZUAI's interest in exploring ethical AI development and its applications for societal good, potentially driving research and policy initiatives in the region.
Ivan Laptev from INRIA Paris presented a talk at MBZUAI on embodied multi-modal visual understanding, covering advancements in video understanding tasks like question answering and captioning. The talk highlighted recent work on vision-language navigation and manipulation. He argued that detailed understanding of the physical world through vision is still in early stages, discussing open research directions related to robotics and video generation. Why it matters: The discussion of robotics applications and future research directions in embodied AI could influence the direction of AI research and development in the UAE, particularly at MBZUAI.
Axel Sauer from the University of Tübingen presented research on scaling Generative Adversarial Networks (GANs) using pretrained representations. The work explores shaping GANs into causal structures, training them up to 40 times faster, and achieving state-of-the-art image synthesis. The presentation mentions "Counterfactual Generative Networks", "Projected GANs", "StyleGAN-XL”, and “StyleGAN-T". Why it matters: Scaling GANs and improving their training efficiency is crucial for advancing image and video synthesis, with implications for various applications in computer vision, graphics, and robotics.
MBZUAI's Incubation and Entrepreneurship Center (MIEC), launched in November 2023, is fostering AI-driven startups, including LibrAI, Audiomatic, and Limb. LibrAI is an AI safety monitoring platform founded by MBZUAI postdoctoral researcher Xudong Han. Audiomatic, created by MBZUAI students Muhammad Taimoor Haseeb and Ahmad Hammoudeh, is an AI-powered audio integration platform. Why it matters: These startups demonstrate MBZUAI's role in translating AI research into practical solutions, contributing to the UAE's innovation ecosystem and addressing real-world challenges.
Thamar Solorio of MBZUAI served as general chair of EMNLP 2024, which hosted over 4,000 attendees. MBZUAI researchers presented nearly 50 studies, including one co-authored by Solorio and Monojit Choudhury that received an Outstanding Paper Award. Key themes included cultural awareness, machine-generated content detection, and LLM empathy and cultural representation. Why it matters: MBZUAI's strong presence at EMNLP highlights its growing influence in the international NLP research community and its focus on culturally aware AI.
Justice Connect, an Australian charity, collaborated with MBZUAI's Prof. Timothy Baldwin to improve their legal intake tool using NLP. The tool helps route legal requests, but users struggled to identify the relevant area of law, leading to delays and frustration. By applying NLP, the collaboration aims to help users more easily navigate the tool and access appropriate legal resources. Why it matters: This project demonstrates how NLP can be applied to improve access to justice and address unmet legal needs, particularly for those unfamiliar with legal terminology.
The IEEE International Conference on Data Mining (ICDM) opened in Abu Dhabi, marking the emirate as a growing hub for global AI conferences. Three faculty members from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) hold key positions in the ICDM organizing committee. Abu Dhabi has recently hosted IROS in October and will host COLING in January 2025, with MBZUAI faculty heavily involved in these events. Why it matters: Hosting top-tier AI conferences in Abu Dhabi, with strong MBZUAI participation, enhances the region's reputation and visibility in the global AI community.
The MBZUAI Incubation and Entrepreneurship Center (MIEC) is supporting AI startups in Abu Dhabi, leveraging its position as the region’s first AI-native incubator. In its first year, MIEC has supported nine startups that have attracted external funding exceeding internal grants by eight times. MIEC is also launching an AI-focused Mentors Network connecting international AI experts and investors with startup founders. Why it matters: MIEC's activities help grow the AI ecosystem in the UAE, which is seeing rapid growth in the number of AI companies.
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.
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 AI4Bio Workshop at MBZUAI explored the intersection of AI and biology, focusing on AI-driven virtual organisms and foundation models. Eric Xing presented his vision of using AI to simulate biological activities, offering a safer alternative to physical experiments. Researchers like Le Song and Jen Philippe Vert are developing foundation models for biological systems, enhancing drug discovery and bioengineering. Why it matters: This signals the growing importance of AI in advancing biological research and healthcare innovation within the UAE and globally.
MBZUAI will present robotics research and solutions at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) in Abu Dhabi from October 14-18. Professors Yoshihiko Nakamura and Sami Haddadin, renowned robotics experts, lead MBZUAI's robotics initiatives. MBZUAI will be located at Booth 6 at ADNEC. Why it matters: Showcasing MBZUAI's commitment to becoming a global leader in AI and robotics research, attracting top talent and fostering interdisciplinary collaboration in the UAE.
MBZUAI alumnus Sulaiman AlJanahi is helping reshape the UAE's payments landscape as a founding member and associate project manager at Al Etihad Payments, a subsidiary of the Central Bank of the UAE. AlJanahi's work focuses on the Aani instant payment system, building on his M.Sc. research on optimization techniques for federated learning. He credits MBZUAI for instilling discipline and a strong work ethic, preparing him for the demands of a fast-paced startup environment. Why it matters: This highlights MBZUAI's role in contributing to the UAE's digital transformation and cashless society initiatives through its graduates' involvement in key national projects.
MBZUAI has placed over 90 master's and PhD students in internships at public, private, and multinational organizations globally. The internships span various AI disciplines, including computer science, CV, ML, NLP, and robotics. Students are undertaking placements at institutions like the Technical University of Darmstadt, Johns Hopkins University, and Microsoft Research Lab – Asia, as well as UAE entities like ADNOC and Dubai Police. Why it matters: This initiative strengthens the UAE's AI ecosystem by providing hands-on experience for students and addressing the growing demand for AI expertise in the region.
MBZUAI and KAUST researchers collaborated to present new optimization methods at ICML 2024 for composite and distributed machine learning settings. The study addresses challenges in training large models due to data size and computational power. Their work focuses on minimizing the "loss function" by adjusting internal trainable parameters, using techniques like gradient clipping. Why it matters: This research contributes to the ongoing advancement of machine learning optimization, crucial for improving the performance and efficiency of AI models in the region and globally.
MBZUAI welcomed 45 international STEM students to its month-long Undergraduate Research Internship Program (UGRIP), a 32% increase from its second year. The program exposes students to AI research and faculty, attracting applicants from universities like IIT Madras, Harvard, and Yale. Interns worked on AI projects including digital healthcare metaverse prototypes, baby cry analysis, and LLM generalizability. Why it matters: This program helps to foster AI talent and promote the UAE as a global hub for AI research.
MBZUAI's Metaverse Center is developing technologies for realistic avatar generation. Hao Li and colleagues presented a novel approach at CVPR 2024, collaborating with ETH Zurich, VinAI Research, and Pinscreen. The technology addresses the challenge of mapping 2D images to 3D avatars, accounting for poses, expressions, and views. Why it matters: Creating realistic and efficient avatar generation could improve user experience and accessibility in virtual environments across the Middle East.
MBZUAI computer vision graduate Yahia Dalbah pivoted from electrical engineering to a role at FortyGuard, a clean tech startup focused on geospatial analysis of outdoor temperatures. He will be a research and development engineer, responsible for machine learning and computer vision algorithms. FortyGuard provides governments and businesses with tools to measure and analyze factors affecting heat and temperature. Why it matters: This highlights the potential for AI education in the UAE to drive innovation in sustainability and environmental solutions through local startups.
Elizabeth Churchill, formerly Senior Director of UX at Google, has joined MBZUAI as Department Chair of Human-Computer Interaction. Churchill will lead the establishment of MBZUAI's newest HCI department, after computer science and robotics. She recently received the ACM SIGCHI Lifetime Practice Award. Why it matters: The appointment of a renowned UX expert like Churchill signals MBZUAI's commitment to integrating human-centered design principles into its AI research and education, potentially fostering more user-friendly and impactful AI applications in the region.
MBZUAI's Professor Ted Briscoe is working on an educational technology initiative with IBM to support Arabic literacy in the Gulf by providing personalized feedback on student writing. He is also developing a question-answering system for Abu Dhabi Global Market to help companies understand local regulations. The Q&A system aims to assist smaller companies in establishing offices in Abu Dhabi by providing affordable access to regulatory information. Why it matters: These projects apply NLP to address practical needs in education and business, fostering Arabic literacy and easing regulatory compliance for SMEs in the UAE.
The article discusses how AI is transforming healthcare, aviation, and agriculture. MBZUAI has launched the Institute of Digital Public Health (IDHP) and partnered with the Department of Health – Abu Dhabi and Core42 to launch the Global AI Healthcare Academy. MBZUAI has also partnered with Etihad Airways to explore AI applications in aviation and with Silal to bring AI innovation to agriculture and food production. Why it matters: These initiatives signal the UAE's commitment to becoming a global AI hub by integrating AI across key sectors and fostering innovation through strategic partnerships.
MBZUAI students Muhammad Taimoor Haseeb and Ahmad Hammoudeh have created Audiomatic, an AI-driven platform that automates audio tasks for visual storytelling and addresses licensing challenges. The platform allows users to upload videos and automatically find suitable audio elements, streamlining the content creation process. The MBZUAI Incubation and Entrepreneurship Center (IEC) is providing support to help commercialize the platform. Why it matters: This platform has the potential to significantly impact the content creation industry in the region by simplifying audio production and mitigating licensing issues, while also highlighting MBZUAI's role in fostering AI innovation and entrepreneurship.
MBZUAI researchers are developing an AI-powered tool for flood assessment using satellite data and computer vision, prompted by the recent extreme weather in the Gulf region. The prototype analyzes spatial satellite imagery from before and after the storm to detect changes and identify heavily impacted roads and critical infrastructure. The tool uses AI models, Sentinel-2 imagery, and OpenStreetMap data to locate affected areas and estimate water depth. Why it matters: This research offers a way to automate and improve rapid response to extreme weather events, providing local authorities with critical information for rescue, recovery, and future urban planning in the face of climate change.
The first International Olympiad in AI for high school students will be held in Bulgaria from August 9-15, 2024. Organized by the LERAI Foundation, the competition will test students on machine learning, computer vision, and natural language processing. Sponsors include Google and MBZUAI, with organizers hoping participants pursue further AI education and careers. Why it matters: This event aims to cultivate global AI talent and could increase interest in AI education and careers in the GCC region, particularly at MBZUAI.
MBZUAI researchers are developing AI applications for malaria prevention in Indonesia using sensory data fusion and digital twins. Another MBZUAI team is using machine learning and computer vision to detect cardiovascular disease from CT scans in collaboration with the University of Oxford. AI-powered remote patient monitoring is also being explored for proactive interventions and chronic disease management. Why it matters: These projects demonstrate the potential of AI to address healthcare challenges in underserved communities and improve disease prevention and management in the region.
MBZUAI has announced an enhanced MBZUAI Executive Program (MEP) welcoming its fifth cohort of 44 senior leaders from various sectors across the UAE. The program focuses on AI application and implementation, covering real-world projects, policy development, and ethics. The in-person modules are spread over 16 weeks and include new chapters on AI transformation, policymaking, and ethics. Why it matters: The enhanced MEP helps develop a strong regional AI community, supporting digital transformation in UAE organizations and aligning with the UAE's national AI strategy.
MBZUAI held its third annual Internships and Opportunities Fair, connecting students with over 40 potential employers including Etihad, e&, Abu Dhabi Police, ADNOC and Bayanat.ai. Over 100 master’s and Ph.D. students in CV, ML, and NLP will undertake summer internships, while graduating students explored full-time positions. The event featured speed interviews and coaching to support students in securing AI roles across sectors like health, telecommunications, and finance. Why it matters: This fair facilitates the integration of MBZUAI-trained AI talent into the UAE's expanding tech ecosystem, addressing the growing demand for AI expertise.
Monojit Choudhury, formerly of Microsoft Research and Project Turing, has joined MBZUAI as a professor of natural language processing. Choudhury's work at Microsoft involved developing NLP applications and responsible AI, including manually programming LLMs to prevent toxic or biased content. He was impressed by GPT-4's capabilities and believes academia is the best place for deep research in NLP. Why it matters: Choudhury's experience at Microsoft, including his work on responsible AI and LLMs, could contribute to MBZUAI's NLP research and the development of more inclusive LLMs.
MBZUAI hosted the 2024 Middle East Advancement Conference (MEAC) in Abu Dhabi, gathering over 50 delegates from global educational institutions. The conference, organized by the Council for Advancement and Support of Education (CASE), focused on international best practices in areas like alumni relations and student recruitment. The event included discussions on the impact of AI on advancement professionals and featured leaders from MBZUAI, NYU Abu Dhabi, and Heriot-Watt University Dubai. Why it matters: The conference highlights the UAE's growing role as a hub for educational innovation and its commitment to fostering a globally networked approach to talent development in the AI era.
MBZUAI is highlighting five key AI innovations for UAE Innovation Month, including the Jais Arabic LLM developed with Core42 and Cerebras Systems. They also highlight the AI Operating System (AIOS) for reducing AI computing energy costs. Additionally, MBZUAI received a US patent for an AI-based handwriting generation technology. Why it matters: MBZUAI's focus on Arabic NLP and efficient AI computing positions the UAE as a leader in responsible and inclusive AI development.
MBZUAI researchers have developed a new approach to enhance the generalizability of vision-language models when processing out-of-distribution data. The study, led by Sheng Zhang and involving multiple MBZUAI professors and researchers, addresses the challenge of AI applications needing to manage unforeseen circumstances. The new method aims to improve how these models, which combine natural language processing and computer vision, handle new information not used during training. Why it matters: Improving the adaptability of vision-language models is critical for real-world AI applications like autonomous driving and medical imaging, especially in diverse and changing environments.
MBZUAI Assistant Professors Bin Gu and Huan Xiong are advancing spiking neural networks (SNNs) to improve computational power and energy efficiency. They will present their latest research on SNNs at the 38th Annual AAAI Conference on Artificial Intelligence in Vancouver. SNNs process information in discrete events, mimicking biological neurons and offering improved energy efficiency compared to traditional neural networks. Why it matters: This research could enable running advanced AI applications like GPTs on mobile devices, unlocking their full potential due to the energy efficiency of SNNs.
Wesam Manassra, an MIT-trained full-stack engineer at OpenAI, spoke to MBZUAI students about his experiences in tech and entrepreneurship. Manassra, who also worked at Uber and Microsoft and co-founded two startups, emphasized the importance of communication, adaptability, and team culture. The event was held in collaboration with startAD and sponsored by the MBZUAI Incubation and Entrepreneurship Center. Why it matters: The talk highlights the growing interest in AI careers among UAE students and the role of local institutions like MBZUAI in fostering tech entrepreneurship.
MBZUAI and the Weizmann Institute of Science (WIS) jointly hosted the inaugural Human Phenotype Project Hackathon in Abu Dhabi, focusing on AI-driven healthcare solutions. 24 postgraduate students and researchers analyzed "real data" from a deep-phenotype multi-omic biobank to develop personalized and predictive analytics. The hackathon utilized data from WIS and Pheno.AI’s Human Phenotype Project (HPP) in Israel, marking the first time an international university has been granted access to this data. Why it matters: This collaboration demonstrates the growing emphasis on leveraging AI for healthcare innovation in the UAE and fostering international partnerships to address global health challenges.
MBZUAI hosted the Second Workshop on Collaborative Learning as part of the AI Quorum in Abu Dhabi, focusing on collaborative and federated learning for sustainable development. Researchers discussed applications in medicine, biology, ecological conservation, and humanitarian aid. Eric Xing highlighted the potential of large biology models, similar to LLMs, to revolutionize biological data analysis. Why it matters: This workshop underscores the UAE's commitment to advancing AI research in crucial sectors like healthcare and sustainability through collaborative learning approaches.
MBZUAI and United Al-Saqer Group have signed a 10-year research endowment agreement to advance AI in digital health. The funds will support health research projects at MBZUAI under the name of H.E. Sheikh Mohamed bin Butti Al Hamed. MBZUAI is already conducting research projects in areas like malaria spread, early detection of cardio and fetal abnormalities, and remote patient monitoring. Why it matters: This partnership highlights the UAE's commitment to leveraging AI for healthcare innovation and aligns with Abu Dhabi's 2030 Economic Vision.
MBZUAI held an appreciation ceremony recognizing over 30 industry partners for their collaboration in building the AI ecosystem in Abu Dhabi. The event included panel discussions on AI's potential in healthcare and sustainability, featuring speakers from Mubadala Healthcare, Sheikh Shakhbout Medical City, and the Department of Health – Abu Dhabi. Faculty discussed advancements in NLP and MBZUAI's role in developing Jais and Jais Climate, along with progress in computer vision and machine learning. Why it matters: This event highlights MBZUAI's commitment to fostering partnerships that advance AI research and applications, particularly in areas crucial to the UAE's strategic priorities like healthcare and climate change.
Cleveland Clinic Abu Dhabi and MBZUAI have signed an MoU to collaborate on research and education initiatives. The partnership aims to create opportunities such as joint research projects and mentorship programs for students. Both institutions will leverage their expertise to explore AI applications in healthcare, focusing on areas like diagnostics and digital twins. Why it matters: The collaboration will strengthen Abu Dhabi's position as a hub for AI-enabled healthcare innovation and talent development.
ADGM and MBZUAI have signed an MoU to advance AI applications in financial regulatory compliance. The partnership will focus on developing regtech and suptech solutions, including an AI model to extract meaning from financial regulations. A key project is enhancing FSRA’s ‘Risk Analyser’ platform, which uses AI to provide insights on supervised firms. Why it matters: This collaboration signals a push towards AI-driven regulatory innovation in the UAE's financial sector, potentially improving efficiency and compliance.
MBZUAI faculty won two awards and published eight papers at the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023). Alham Fikri Aji and Fajri Koto won the Best Resource Award for NusaWrites, a paper on constructing high-quality corpora for low-resource Indonesian languages by engaging speaker communities. Muhammad Abdul-Mageed won an Area Chair award for ProMap, a method for constructing bilingual dictionaries via language model prompting. Why it matters: This highlights MBZUAI's contribution to NLP research, particularly in low-resource languages and bilingual lexicon induction, and strengthens its position as a hub for AI research in the region.
MBZUAI has been actively involved in developing AI and generative models, contributing to models like Llama 2, Jais, Vicuna, and LaMini. Professor Preslav Nakov notes Llama 2's improvements in size and carbon footprint over Llama 1. MBZUAI aims to tackle challenges like information accuracy, economic costs, and the scarcity of Arabic online content. Why it matters: MBZUAI's work helps address the limitations of current LLMs, particularly for Arabic, and promotes sustainable AI development in the region.
MBZUAI hosted an event for UAE students to demonstrate generative AI and its potential, featuring an interactive storytelling demonstration on Jais, the Arabic LLM. A survey at the event showed that 77% of students aged 12-15 believe AI skills will be required for future employment. The event included speakers from MBZUAI and NASA, showcasing AI applications in education and creative fields. Why it matters: This event highlights the UAE's focus on AI literacy among youth and MBZUAI's role in promoting AI education and awareness, aligning with the country's national AI strategy.
MBZUAI and Etihad Airways have signed an MoU to explore AI applications in the aviation sector. The partnership includes joint training programs, research, seminars, and workshops. MBZUAI students will gain aviation industry experience and explore AI's potential in addressing challenges. Why it matters: The collaboration aims to enhance AI competitiveness in the UAE's aviation sector and foster sustainable growth and innovation.
Malaysian Prime Minister Anwar Ibrahim visited MBZUAI and was received by UAE Minister Dr. Sultan Al Jaber to strengthen technology ties between the two countries. MBZUAI faculty presented research on healthcare AI, the AIOS platform for efficient AI computing, and LLMs like Vicuna and Jais. MBZUAI also announced partnerships with G42, Cerebras, and India’s Centre for Development of Advanced Computing. Why it matters: The visit underscores the UAE's commitment to AI research and international collaboration, particularly in areas like sustainable AI and Arabic language models.
MBZUAI's AI Quorum launched its second workshop, "Building Ecosystems for AI at Scale," focusing on AI scalability and business applications. The first CASL workshop aims to define steps for organizations to become self-sufficient with AI and explore new use cases. Speakers include MBZUAI faculty and researchers from CMU, Stanford, KAUST, UC Berkeley, and Google. Why it matters: The workshop highlights the UAE's growing role in fostering AI innovation and bridging the gap between academic research and industry applications in the region.
MBZUAI launched the AI Quorum, a winter series from October 2022 to March 2023, to stimulate AI research. The first session, led by Professor Michael Jordan, focused on collaborative learning with around 20 research experts. Discussions covered the use of edge devices like cell phones and hospitals providing data to build large models, as well as risks like free-riding and adversarial attacks. Why it matters: The AI Quorum initiative positions MBZUAI as a hub for global AI collaboration, addressing key challenges and opportunities in collaborative learning for real-world applications.
MBZUAI had 30 papers accepted at the International Conference on Computer Vision (ICCV) in Paris, out of 8,260 submissions. Visiting Professor Ivan Laptev served as one of the ICCV Program Chairs. Two papers from MBZUAI researchers focused on analyzing moving images, with one introducing Video-FocalNets for action analysis and the other exploring the transfer of knowledge from still image analysis to video. Why it matters: MBZUAI's strong presence at ICCV demonstrates its growing prominence in the global computer vision research landscape.
MBZUAI's Qirong Ho and colleagues are developing an Artificial Intelligence Operating System (AIOS) for decarbonization, aiming to reduce energy waste in AI development. The AIOS focuses on improving communication efficiency between machines during AI model training, as inefficient communication leads to prolonged tasks and increased energy consumption. This system addresses the high computing power demands of large language models like ChatGPT and LLaMA-2. Why it matters: By optimizing energy usage in AI development, the AIOS could significantly reduce the carbon footprint of AI technologies in the region and globally.
MBZUAI has implemented three HyFlex (hybrid flexible) classrooms using Zoom to connect remote and in-person students. The classrooms include smart whiteboards, sensor cameras, and multiple screens, benchmarked against setups at Harvard and King's College. A research article on the development of MBZUAI's HyFlex approach is under peer review. Why it matters: This initiative enhances hybrid learning in the region and provides a model for other universities looking to integrate advanced technology into their educational spaces.