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AMML's Overview

Total employees16
HeadquartersAbu Dhabi
Founded2007

Appreciating Machine Mettle Lab (AMML) is a prominent research laboratory operating within the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi. AMML is dedicated to pioneering fundamental research in machine learning. Key areas of focus include deep learning theory, generative models, causal inference, AI for science, and the development of trustworthy and ethical AI systems. The lab aims to foster a vibrant, collaborative environment for world-class faculty, researchers, and students to address complex challenges and contribute significantly to the global AI landscape.

Where is AMML's Headquarters?

HQ Function

Primary hub for AMML's research activities, academic collaborations, student training, and development of AI methodologies and applications.

Notable Features:

Situated within MBZUAI, the world's first graduate-level, research-based AI university, providing access to state-of-the-art facilities and a focused AI ecosystem.

Work Culture:

Highly academic and research-driven, emphasizing innovation, collaboration, rigorous scientific inquiry, and the publication of impactful research. Fosters intellectual curiosity and mentorship.

HQ Significance:

Serves as a key center for AI research within MBZUAI and the broader region, contributing to the UAE's strategic goals in AI development and attracting global talent.

Values Reflected in HQ: Excellence in AI research, pursuit of knowledge, innovation, global collaboration, and commitment to advancing AI for the betterment of society.

Location:

AMML's global presence is primarily manifested through international research collaborations, participation in and hosting of global AI conferences and workshops, publications in leading international journals, and the diverse international backgrounds of its faculty, researchers, and students. The lab actively engages with the global AI community from its base in Abu Dhabi.

Street Address:

Mohamed bin Zayed University of Artificial Intelligence, Masdar City, P.O.Box: 54440

City:

Abu Dhabi

State/Province:

Abu Dhabi

Country:

United Arab Emirates

AMML's Global Presence

Buying Intent Signals for AMML

Highperformr Signals uncover buying intent and give you clear insights to target the right accounts at the right time — helping your sales, marketing, and GTM teams close more deals, faster.

Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
*Example signal, not calculated in real time

Executive Team of AMML

As of April 2025, AMML' leadership includes:

Prof. Le Song - Director of AMML, Professor and Department Chair of Machine Learning at MBZUAI
Prof. Kun Zhang - Professor, MBZUAI (Affiliated with AMML)
Dr. Qiantong Xu - Affiliated Assistant Professor, MBZUAI
Prof. Eric Xing - President of MBZUAI and University Professor (Oversees research labs like AMML)

Investors of AMML

AMML has been backed by several prominent investors over the years, including:

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Governmental and institutional research grants
Industry collaborations for applied research projects

Executive New Hires/Exits in the Last 12 Months

Hire0
Exits0

As an academic research lab, AMML's team dynamics involve faculty appointments, postdoctoral researcher hiring, and PhD student intake, managed by MBZUAI. Specific 'executive' hires or exits in a corporate sense are not typical. Information on routine academic staffing changes is not centrally publicized like corporate executive news.

Technology (Tech Stack) used by AMML

Discover the tools AMML uses. Highperformr reveals the technologies powering your target accounts — helping your sales, marketing, and GTM teams prioritize smarter and close faster.

AMML Email Formats and Examples

Email addresses for members of AMML typically follow the standard formats used by Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Common patterns include [firstname].[lastname]@mbzuai.ac.ae or variations using initials.

[firstname].[lastname]@mbzuai.ac.ae

Format

le.song@mbzuai.ac.ae

Example

80%

Success rate

News and media

MBZUAI NewsMay 20, 2024

AMML Research on Generative AI Highlighted at International AI Summit

Recent breakthroughs from AMML researchers on efficient and controllable generative models were presented at the International AI Summit, drawing attention to MBZUAI's contributions in cutting-edge AI....more

AMML Publications / arXivMarch 10, 2024

AMML Team Publishes Influential Paper on Causal Discovery Algorithms

A new paper by AMML researchers introducing a novel algorithm for causal discovery from observational data has been published and is gaining traction within the machine learning community for its potential impact on scientific research....more

AMML Website / MBZUAI EventsJanuary 15, 2024

AMML Welcomes Visiting Scholars to Collaborate on AI for Science Initiatives

AMML is hosting several visiting scholars for collaborative research projects focusing on applying advanced machine learning techniques to challenges in biology and materials science, further strengthening its AI for Science program....more

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