10th

Globally ranked in AI, CV, ML, NLP, ROB, and
Computational Bio (CSRankings)

653

Total enrolled
students

59

Nationalities represented
in student diversity

116

Faculty

8

Master's programs

8

Doctoral programs

254

Postdocs and
researchers

45

Faculty from top AI institutions

1

Undergraduate program
(2 streams)

Questions & answers

General FAQs

The Institute of Foundation Models is a dedicated research hub focused on the development and understanding of foundation models, such as large language models and multi-modal models, with applications across healthcare, climate change, and sustainability.

Key projects include the PAN World Model for embodied reasoning, the open-source K2 model for frontier capabilities, K2 Think for advanced AI reasoning, and the Jais series of state-of-the-art Arabic large language models.

These models can be used in sectors such as personalized medicine, social media analysis, finance, and environmental engineering, and are adaptable to different languages and data types.

IFM encourages collaboration with scientists, engineers, and organizations to advance the development of foundation models through research and application partnerships.

IFM aims to lead global research on foundation models by creating reusable, scalable, and efficient AI models that address societal needs and drive innovation.

The Incubation and Entrepreneurship Center supports AI innovators by providing mentorship, funding opportunities, networking, and strategic business insights.

Resources include entrepreneurship courses, access to AI research and technical expertise, opportunities to pitch for funding, and guidance on transforming ideas into business ventures.

The center runs intensive courses covering business literacy and commercialization of AI solutions, including workshops on idea generation, prototyping, and market discovery.

Yes, startups can secure Proof of Concept grants during Demo Day pitches to help accelerate business development.

Programs are open to students and alumni who are passionate about AI and entrepreneurship and interested in developing AI-based solutions across industries.

Applications open periodically through the website, and applicants should have a strong AI idea and a commitment to developing it into a viable business.

No, applicants can only apply to one program per semester.

Yes, the university welcomes students from diverse backgrounds and nationalities.

Masdar City is highly walkable, and students have access to various low-carbon public transportation options such as electric buses and golf carts.

The university is led by President Eric Xing, a globally recognized expert in AI. The faculty is made up of 116 specialists, with 45 from top 100 AI institutions in machine learning, computer vision, natural language processing, robotics, human-computer interaction, and computer science.

The university has several departments focused on AI research, including Computational Biology, Computer Science, Computer Vision, Human-Computer Interaction, Machine Learning, Natural Language Processing, Robotics, and Statistics and Data Science.

You can explore the faculty directory and view individual profiles of faculty members to choose a mentor whose research aligns with your interests. The directory provides detailed information on their research expertise and areas of focus.

You can fill out a contact form on the faculty directory page, where you provide your name, organization, and message to get in touch with faculty members for potential collaborations.

Yes, many faculty members have links to their publications, research work, and profiles on academic platforms such as Google Scholar, which can be accessed through the faculty directory.

Partnerships include collaborations with academic institutions, industry partners, and research institutes on AI research, development projects, and new technologies.

The goal is to foster collaboration between academia, industry, and government to create AI innovations that benefit key sectors while providing students with market-relevant skills.

Collaborations include joint research projects, consultancy work, student employment opportunities, and the development of joint academic curricula aligned with market needs.

Partnerships span industries such as healthcare, life sciences, energy, and education.

Organizations can collaborate through joint research, sponsored academic projects, internships, or recruitment of graduates by contacting the university.

Collaborations follow standard academic-industry partnership models and are aligned with strategic national and institutional goals.

Executive and professional training programs are designed for leaders and managers in government and the private sector, focusing on implementing AI in business and society.

Programs are aimed at executives, organizational leaders, and decision-makers in sectors such as healthcare, energy, education, and finance.

Topics include AI for leadership, Industry 4.0, data analytics for leaders, and AI-driven strategic decision-making, with some programs featuring hands-on problem solving.

Yes, specialized programs include AI for Leadership, Industry 4.0 and AI for Industrial Leaders, and Data Analytics for Leaders.

Program duration varies, with some running for one week and others extending over several months.

Programs are conducted on campus in Masdar City, Abu Dhabi, with some offering international exposure through visits to leading AI-focused organizations.

Interested participants can contact the Academy team directly to register.

AI in the UAE

  • It is estimated that AI could contribute $320 billion to the Middle East economy by 2030, with the UAE seeing the greatest gains (PwC)
  • Vision 2031 will position the UAE as a world leader in AI and increase productivity and economic growth
  • The UAE hosted the world’s first AI summit, ‘AI Everything’
  • Vision 2031 will position the UAE as a world leader in AI and increase productivity and economic growth

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