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.
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.
EXPLOREMBZUAI'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.
Having diverse role models in STEM – science, technology, engineering, and mathematics – will inspire the next generation of women in the field. That is what encouraged..
Read MoreAbu Dhabi’s artificial intelligence university will help develop an operating system to optimize Virgin Hyperloop’s proposed 1,080 kph transport system...
Read More