Machine Learning Department

Machine learning researchers working at MBZUAI investigate the development of algorithms which can improve automated cognition, perception and action with experience by observations.

Our reseachers focus on both fundamental and applied research in machine learning. This can be used for many enterprise applications (such as business intelligence and analytics), effective web search, robotics, smart cities and understanding of the human genome.

Our students, supervised by our world class faculty, get unique hands-on experience by developing and evaluating algorithms on complex real datasets.

The university offers Ph.D. and master's in machine learning with exceptionally advanced courses and outcomes.

Chair's message

The machine learning (ML) department at MBZUAI is dedicated to imparting a world-class education in ML to our students. From foundational principles to advanced applications, our research-intensive education model will provide our students theoretical concepts to test under supervision from senior AI researchers in the field as they tackle real-world problems and produce meaningful results.

It is the task of the ML department to engage in ML research by exposing our expert faculty, research staff, and students to problems faced by industry partners and sponsored research. We leverage these relationships to ensure all researchers have access to the latest technology, emerging problems, and solutions. One of our main goals is creating disruptive solutions and technologies, powered by AI, that unlock the secrets of science across all areas.

One of our main goals is creating disruptive solutions and technologies, powered by AI, that unlock the secrets of science across all areas.

department-chair

Professor Le Song

Department Chair, Machine Learning

It is my commitment to establish the ML Department as a major hub for ML expertise and solutions, not only in the region, but globally. We do this by embracing emerging concepts and applying sustainabile ML algorithms to problems that we all face, in order to maximize our efforts and produce AI for good.

Professor Le Song

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Projects

The core of an AI application is a multi-stage program, referred to in industry parlance as a "pipeline". Pipelines are composed of machine learning model code, as well as non-model code used for supporting tasks like data preprocessing, augmentation, post-processing, retrieval, ranking, and serving of inference results. This project investigates multi-stage black-box methods and systems for Learning To Learn in AI pipelines, in order to optimize for multiple simultaneous objectives including task performance, throughput, latency, and cost of compute. The goal is to provide a one-stop system for automatic, hands-free optimization of AI applications according to engineering and business needs.

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Research centers

Center for Integrative Artificial Intelligence (CIAI)

MBZUAI's Center for Integrative Artificial Intelligence (CIAI) has been created to further develop an AI operating system (OS) based on the foundation of the CASL project.

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