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.
Primary hub for AMML's research activities, academic collaborations, student training, and development of AI methodologies and applications.
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.
Highly academic and research-driven, emphasizing innovation, collaboration, rigorous scientific inquiry, and the publication of impactful research. Fosters intellectual curiosity and mentorship.
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.
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.
Mohamed bin Zayed University of Artificial Intelligence, Masdar City, P.O.Box: 54440
Abu Dhabi
Abu Dhabi
United Arab Emirates
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As of April 2025, AMML' leadership includes:
AMML has been backed by several prominent investors over the years, including:
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.
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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
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MBZUAI News • May 20, 2024
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 / arXiv • March 10, 2024
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 Events • January 15, 2024
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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