The Global AI Research & Knowledge Network

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MBZUAI hosted the inaugural Natural Language Processing Symposium under the AI Quorum series. This workshop featured a series of presentations by leading experts in NLP and culminated with a Panel Discussion on the topic ‘Where are we at, where should we be, and how do we get there?’

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Prof. Yoshihiko Nakamura, Chair of MBZUAI’s Robotics Department has assembled a group of highly motivated young scholars and will host a symposium about the future of AI in Robotics.

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• Welcome to the first Data Carpentry Genomics Workshop at MBZUAI, organized by the Computational Biology and Cancer Regulatory Genomics (CBCRG) Lab, Computational Biology Department at MBZUAI, in collaboration with the Center for Genomics and Systems Biology (CGSB), NYU Abu Dhabi. This interactive hands-on workshop aims to build regional capacity in genomics and computational biology, empowering participants with foundational genomics data science skills and highlighting MBZUAI’s commitment to advancing precision medicine and digital public health in the UAE and beyond.
  Data Carpentry is part of the The Carpentries initiative whose mission is to develop and teach workshops on foundational computational and data science skills to researchers who have little to no prior computational experience.
• It is interactive, hands-on, free, and beginner-friendly workshop, taught by Certified Carpentries Instructors.
• Why attend?
  • Learn essential project organization and data science skills for genomic research
  • Hands-on training in command-line tools, genomic data wrangling, and cloud computing
  • Ideal for researchers, students, and professionals working with genomic data
  • No prior programming or genomic data analysis experience required

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The MBZUAI Single Cell Summer Workshop is a capacity building event focused on supporting the Abu Dhabi region bioinformatics community in getting to know each other and acquiring practical skills for working with single cell omics data. This is a hands on workshop aiming to introduce participants to tools from the scverse  ecosystem of Python single cell data analysis tools, and in particular the scvi-tools framework for probabilistic modelling of single cell omics data.

Participants should bring a laptop.

Friday activities will require familiarity with the command line.

The workshop is free to participate.

Note: If you would like to give a 20 minute participant talk, we still have a few slots available, please indicate when filling in the registration form and contact Eduardo at eduardo.beltrame@mbzuai.ac.ae.

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The MBZUAI Silicon Valley AI Forum was an opportunity to bring together like-minded AI specialist to meet and discuss the future of AI. The event was held at the iconic Computer History Museum in Mountain View, CA.

MBZUAI Provost, Tim Baldwin opened the proceedings with an overview of how the world’s first Artificial Intelligence university, MBZUAI has been taking a leading role in developing research and education programs in a range of AI-related areas.

The event, which hosted 110 AI specialists from a range of institutions on the US West Coast then featured three panel discussions focusing on:

• Getting Infrastructure Ready for the Age of Multi-Modality
• Accelerating Scientific Discovery Using AI
• Where theory and humans meet

As AI driven solutions are increasingly addressing global grand challenges, events such as the MBZUAI AI Forum facilitate the open exchange of views in a relaxed setting leading to constructive discussion and new ideas, all in the inspirational setting of the Computer History Museum!

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MBZUAI is proud to unveil the Institute of Foundation Models (IFM) — a bold, global initiative uniting top AI talent across Abu Dhabi, Silicon Valley, and Paris. The mission: to advance the next generation of foundation models and deliver their benefits to communities worldwide.

We invited researchers, technologists, and innovators to join us in Silicon Valley as we celebrated this milestone and fostered connections within the broader AI community.

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Symposium Goals

As foundation models become increasingly integrated into critical applications, ensuring their trustworthiness is paramount. The International Symposium on Trustworthy Foundation Models brought together researchers, industry leaders, and policymakers to discuss key challenges and advancements in building safe, fair, and robust AI systems. This symposium explored topics such as model safety, privacy, fairness, interpretability, causality, and robustness, with a particular emphasis on real-world deployment and governance. Through two days of invited talks, networking discussions, and contributed research, we sought to foster collaboration and drive innovation in the responsible development of foundation models.

Specifically, the objectives of the symposium were:

• Exchanging ideas, e.g., keynote speeches from world-leading researchers and contributed talks from active researchers;

• Building networks and promoting potential collaborations, e.g., promote internal collaborations within MBZUAI and internal collaborations with rising-star and world-leading researchers;

• Inspiring the juniors to do better research, e.g., mentor research students and postdocs at MBZUAI to do high-quality research.

Organizers

Organizing committee:
General chair: Kun Zhang, MBZUAI; Tongliang Liu, MBZUAI/USYD
Program chair: Bo Han, HKBU/RIKEN; Bo Li, UIUC
Invited faculty talk session chair: Nils Lukas, MBZUAI
Rising-star presentation session chair: Salem Lahlou, MBZUAI
PhD mentoring session chair: Mingming Gong, MBZUAI/UoM
Local arrangement chair: Runqi Lin, MBZUAI/USYD

Local hosts:
Maria Pereira, MBZUAI
Analyne Mata, MBZUAI

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The MBZUAI East Coast AI Forum was an opportunity to bring together like-minded AI specialist to meet and discuss the future of AI.

MBZUAI Provost, Tim Baldwin opened the proceedings with an overview of how the world’s first Artificial Intelligence university, MBZUAI has been taking a leading role in developing research and education programs in a range of AI-related areas.

The event, which hosted over 130 AI specialists from a range of institutions on the US East Coast then featured three panel discussions focusing on:

• Embodiment, Interaction and Intelligence: new frontiers in human-like intelligence?
• From Molecules to Models: Bridging Human Insight and Biological Complexity with AI
• Foundations for the Multi-Modal Future: Intelligence at Scale

As AI driven solutions are increasingly addressing global grand challenges, events such as the MBZUAI AI Forum facilitate the open exchange of views in a relaxed setting leading to constructive discussion, new ideas, and the occasional controversy!

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MBZUAI is excited to participate in the 2025 International Conference on Machine Learning (ICML), a leading global forum for machine learning research. We’ll be hosting a special reception during the conference at the Vancouver Convention Centre. We look forward to connecting with the community and engaging with fellow researchers and professionals there!

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The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the flagship meeting of the International Society for Computational Biology (ISCB). The 2025 meeting is the 33rd ISMB conference, which has grown to become the world’s largest bioinformatics and computational biology conference. Joining forces with the European Conference on Computational Biology (the 24th Annual Conference), ISMB/ECCB 2025 will be the year’s most important computational biology event!

Visit our booth at ISMB 2025 to explore how MBZUAI is advancing AI-driven research. Meet our team, learn about our work, and discover opportunities to collaborate or join us.

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MBZUAI is thrilled to be attending the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) and will be hosting a special reception during the conference. The exact location of the reception will be announced soon. We look forward to connecting with the community and seeing everyone there!

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MBZUAI is proud to participate in the 2025 Joint Statistical Meetings (JSM), the North American conference bringing together the statistics and data science community. While the main conference will be held at the Music City Center, our special reception will take place at the Omni Nashville Hotel, 250 Rep. John Lewis Way S, Nashville, TN 37203. We look forward to connecting with fellow researchers and professionals there!

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MBZUAI is proud to take part in Interspeech 2025, the world’s largest and most comprehensive conference on the science and technology of spoken language processing. We’ll be hosting a special reception during the event and look forward to connecting with the speech and language research community from around the world.

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MBZUAI SYMPOSIUM ON TEACHING AND LEARNING 

This symposium explores practices of teaching and learning in higher education, and how artificial intelligence gives us the opportunity to innovate and rethink. Through case studies, research insights, and institutional practices, speakers will examine the fundamentals of student learning and faculty engagement, and how AI challenges and invigorates models of instruction, assessment, and academic integrity. Topics include competency-based education, authentic learning design, team-based learning, and the evolving role of faculty. A panel discussion will invite critical dialogue amongst speakers and attendees on the central need to preserve the humanity of learning within the context of technological innovation. Bringing together educators from local and international institutions, the event aims to foster collaboration and spark new thinking on how to navigate AI’s transformative impact on education with responsibility and purpose. 

Event Timings: 9:30am – 3:30pm

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Information about this event will be shared soon.

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MBZUAI is excited to participate in ICCV 2025, one of the world’s leading conferences in computer vision research. We’ll be hosting a special reception during the event and look forward to connecting with fellow researchers, collaborators, and vision enthusiasts from around the globe.

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Following the success of the Dagstuhl Seminar in 2024, this focused workshop on “Rethinking the Role of Bayesianism in the Age of Modern AI” will take place from October 27 to 31, 2025. The gathering will bring together researchers exploring the frontiers of Bayesian Machine Learning and Deep Learning in a collaborative atmosphere.

Despite the recent success of large-scale deep learning, these systems still fall short in terms of their reliability and trustworthiness. They often lack the ability to estimate their own uncertainty in a calibrated way, encode meaningful prior knowledge, avoid catastrophic failures, and reason about their environments to avoid such failures.

Bayesian deep learning (BDL) has harbored the promise of achieving these desiderata by combining the statistical foundations of Bayesian inference with the practically successful engineering solutions of deep learning methods. However, compared to its promise, BDL methods often do not live up to expectations in terms of real-world impact.

This workshop aims to rethink and redefine the promises and challenges of Bayesian approaches; elucidate which Bayesian methods might prevail against their non-Bayesian competitors; and identify key application areas where Bayes can shine. The event is planned as a small, discussion-driven gathering with a relaxed and collaborative atmosphere, and is designed to encourage deep exchange, new ideas, and informal collaboration across intersecting areas of research.

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In the post-GPT world, physical intelligence is the next frontier in AI, aiming to endow mechanisms and physical agents with the ability to interact with and learn from an uncertain, dynamic environment.

This invitation-only symposium will take place over 2 days (3-4 Nov 2025) of talks and discussions with leading practitioners in embodied AI from each of these areas of AI, CV, NL and Robotics.  We will discuss progress, the future, challenges and barriers to and the role of specific ideas and technologies such as world models, sensor fusion, fast vs slow thinking, simulation, explicit vs latent representations, modular vs end-to-end, etc.  

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MBZUAI’s Department of Statistics and Data Science will host a workshop on the Frontiers of Statistical Inference, bringing together researchers to explore cutting-edge methods for reliable AI. The workshop is designed to encourage deep discussion, idea exchange, and informal collaboration across intersecting areas of statistics and machine learning.

The workshop will cover a broad set of topics at the intersection of statistics and AI, including:

• Conformal inference and distribution-free prediction
• Calibration and evaluation of probabilistic forecasts
• Uncertainty quantification in complex and black-box models
• Prediction-powered and model-assisted inference
• High-dimensional and post-selection inference
• Robustness and adaptation under distribution shift
• Fairness, interpretability, and statistical guarantees

Graduate students and early career researchers are especially encouraged to apply. This is a unique opportunity to engage with leaders in the field and discover future research directions.

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MBZUAI is delighted to participate in the 2025 International Conference on Statistics and Data Science (ICSDS), a key gathering for researchers advancing the frontiers of statistics, data science, and their applications. We’ll be hosting a special reception during the conference and look forward to engaging with the community, sharing insights, and building new collaborations.

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The MBZUAI Machine Learning Winter School: Representation Learning & GenAI is an intensive 5-day program that brings together world-leading researchers to explore the cutting-edge developments in modern machine learning and generative artificial intelligence. This comprehensive program combines keynote presentations, technical lectures, and hands-on practical sessions, offering participants direct access to the latest research and methodologies from pioneers who are shaping the future of AI.

The winter school focuses on the revolutionary advances in deep learning that have enabled powerful generative capabilities across multiple domains. From large language models to diffusion models for images and videos, these breakthrough techniques are transforming how we approach AI research and applications.