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University news

Connecting you to the latest AI research and innovation

Stay up-to-date with the latest news from MBZUAI and the wider industry, featuring insights into ongoing University research, innovations, and developments shaping the future of artificial intelligence. The Node gathers expert commentary, press announcements, and initiatives from the University and its partners, keeping you informed on the most relevant trends and breakthroughs.

How MBZUAI’s Incubation and Entrepreneurship Center is helping two students revolutionize content creation

Thursday, 16 May, 2024

How MBZUAI’s Incubation and Entrepreneurship Center is helping two students revolutionize content creation

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Muhammad Taimoor Haseeb and Ahmad Hammoudeh joined the IEC’s entrepreneurship course as they launched Audiomatic: an AI-driven audi production platform.

Understanding Machine Learning on Graphs: From Node Classification to Algorithmic Reasoning.

Tuesday, 14 May, 2024

Understanding Machine Learning on Graphs: From Node Classification to Algorithmic Reasoning.

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Machine learning on graphs is currently one of the most prominent topics in artificial intelligence. The reason behind this trend is that many applications, such as recommendation systems, malicious behavior […]

Abu Dhabi Department of Health partners with MBZUAI, Core42 to launch Global AI Healthcare Academy

Tuesday, 14 May, 2024

Abu Dhabi Department of Health partners with MBZUAI, Core42 to launch Global AI Healthcare Academy

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The Department of Health – Abu Dhabi (DoH), signed a Memorandum of Understanding (MoU) with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), and Core42, a G42 company offering AI solution, during Abu Dhabi Global Healthcare Week (ADGHW) to launch the Global AI Healthcare Academy in the emirate.

Making the invisible visible in causality: a new algorithm to identify causal graphs involving both observed and latent variables

Monday, 13 May, 2024

Making the invisible visible in causality: a new algorithm to identify causal graphs involving both observed and latent variables

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New algorithm can take huge sets of data and identify causal relationships, or how one action leads to another.

MBZUAI looks to AI-powered solutions for extreme weather events following recent flooding in Gulf region

Monday, 13 May, 2024

MBZUAI looks to AI-powered solutions for extreme weather events following recent flooding in Gulf region

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Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is investigating how artificial intelligence (AI) can provide solutions for urban planning globally to help tackle the increase in extreme weather events due to climate change.

Hardware Security through the Lens of Dr ML

Friday, 10 May, 2024

Hardware Security through the Lens of Dr ML

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In modern secured systems, the reliance on hardware as roots of trust is increasing in leaps and bounds. It is a pressing question, how does the hardware security issues get […]

Making sense of silence in gene regulatory networks

Wednesday, 8 May, 2024

Making sense of silence in gene regulatory networks

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MBZUAI Ph.D. student Gongxu Luo has co-authored a study at the ICLR 2024 conference on a new statistical method to infer how genes influence one another.

Unlocking Early Prognosis and Tailored Treatment Plans: Intersection of AI and Medicalv

Tuesday, 7 May, 2024

Unlocking Early Prognosis and Tailored Treatment Plans: Intersection of AI and Medicalv

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Most neurodegenerative diseases are characterised by progressive and irreversible neuronal damage and functional impairment. Traditional diagnostic and monitoring protocol rely heavily on expert clinical evaluation, including a focus on symptoms […]

MBZUAI and University of Michigan Ann Arbor forge new collaboration in AI research

Monday, 6 May, 2024

MBZUAI and University of Michigan Ann Arbor forge new collaboration in AI research

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Mohammed bin Zayed University of Artificial Intelligence (MBZUAI) is pleased to announce a pioneering collaboration with the University of Michigan Ann Arbor in the field of artificial intelligence (AI) research. […]

Safety of Deploying NLP Models: Uncertainty Quantification of Generative LLMs

Monday, 6 May, 2024

Safety of Deploying NLP Models: Uncertainty Quantification of Generative LLMs

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When deploying a machine learning (ML) model in practice, care should be taken to look beyond prediction performance metrics such as accuracy or F1. We should ensure also that it […]

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