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.

In a wide-ranging discussion with Abu Dhabi’s Department of Community Development, MBZUAI’s Eric Xing outlines the transformative potential of AI

Monday, 2 October, 2023

In a wide-ranging discussion with Abu Dhabi’s Department of Community Development, MBZUAI’s Eric Xing outlines the transformative potential of AI

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University Professor and President of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Eric Xing, outlined what he described as a new “RenAIssance’ on Wednesday in a wide-ranging talk […]

Modeling Text as a Living Object

Monday, 2 October, 2023

Modeling Text as a Living Object

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While modern language models do a great job at finding documents, extracting information from them and generating naturally sounding language, the progress in helping humans read, connect, and make sense […]

Challenges and Solutions in Developing Code-switched Arabic-English NLP Systems

Thursday, 28 September, 2023

Challenges and Solutions in Developing Code-switched Arabic-English NLP Systems

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Code-switching, defined as the mixing of languages in text and speech, is a worldwide phenomenon, and thus the ability of NLP systems to handle such input is essential. Despite the […]

Discrete and Continuous Submodular Bandits with Full Bandit Feedback

Wednesday, 27 September, 2023

Discrete and Continuous Submodular Bandits with Full Bandit Feedback

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In this presentation, we will delve into our recent breakthroughs in the realms of discrete and continuous submodular bandits. For discrete submodular sequential decision-making, we introduce a versatile framework designed […]

Self-supervised DNA models and scalable sequence processing with memory augmented transformers

Wednesday, 20 September, 2023

Self-supervised DNA models and scalable sequence processing with memory augmented transformers

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In recent years, the domain of genomics has greatly benefited from advancements in artificial intelligence, particularly machine learning’s capability to interpret genomic sequences. Such interpretations often require intricate analyses of […]

Causality’s role in drug development and precision medicine

Monday, 18 September, 2023

Causality’s role in drug development and precision medicine

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Kun Zhang, associate professor of machine learning at MBZUAI, is combining his expertise in causal machine learning with a technology called organs-on-chips to speed up the process of drug development while also making medicines safer.

Spike Recovery from Large Random Tensors with Application to Machine Learning

Wednesday, 13 September, 2023

Spike Recovery from Large Random Tensors with Application to Machine Learning

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In this talk, we delve into the asymptotic study of large asymmetric spiked tensor models, expanding upon classical principal component analysis to encompass high-order tensors. Our investigation unveils a fundamental […]

Building and Validating Biomolecular Structure Models Using Deep Learning

Monday, 11 September, 2023

Building and Validating Biomolecular Structure Models Using Deep Learning

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Knowing 3D structure of proteins, RNA/DNA, is fundamental to understanding how the molecules carry out the function. The 3D structure is also essential for rational drug design that target proteins […]

Safeguarding AI medical imaging

Monday, 4 September, 2023

Safeguarding AI medical imaging

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An MBZUAI team is working to address security concerns around computer vision systems and the way that they read, interpret, and report on medical images to help safeguard the anonymity of the patients, as well as the validity of results.

The Four Pillars of Machine Learning

Wednesday, 30 August, 2023

The Four Pillars of Machine Learning

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I will present a unified perspective on the field of machine learning, following the structure of my recent book, “Probabilistic Machine Learning: Advanced Topics” which is centered on the “4 […]

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