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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.

Fact checking with ChatGPT

Monday, 12 June, 2023

Fact checking with ChatGPT

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A datum is one discreet value in a collection of values that we commonly refer to as data. From these nuclear particles of philosophical and scientific thought we assemble what we understand as facts. And through the facts that we hear and read, we come to know the world of things that we cannot directly observe for ourselves. This is how we know "facts" about our immune system, about our economy, and our cosmos, for example.

MBZUAI researchers at ICML

Monday, 12 June, 2023

MBZUAI researchers at ICML

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At last count, 17 MBZUAI co-authors have 20 papers accepted at the 40th annual International Conference on Machine Learning (ICML), which will be held in late July in Honolulu, Hawaii.

Learning structured representations for accelerating scientific discovery and simulation

Thursday, 8 June, 2023

Learning structured representations for accelerating scientific discovery and simulation

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In this talk, I will present my work on developing machine learning methods for scientific discovery and simulation. In scientific discovery, discovering universal, simple laws from multiple dynamical systems is […]

Safeguarding AI-for-health systems

Monday, 5 June, 2023

Safeguarding AI-for-health systems

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A collaborative team from MBZUAI, KAUST, and Mila has produced research that is aimed at helping AI system administrators to minimize the negative impacts of hacking and bad actors on results.

President’s address to the Class of 2023

Sunday, 4 June, 2023

President’s address to the Class of 2023

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Your Highness Sheikh Hamed bin Zayed Al Nahyan, your excellencies, and distinguished guests. I am deeply honored and humbled to celebrate the commencement ceremony for the Class of 2023 at the Mohamed bin Zayed University of Artificial Intelligence.

Hamed bin Zayed attends Mohamed bin Zayed University of Artificial Intelligence Class of 2023 commencement ceremony

Sunday, 4 June, 2023

Hamed bin Zayed attends Mohamed bin Zayed University of Artificial Intelligence Class of 2023 commencement ceremony

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In the presence of His Highness Sheikh Hamed bin Zayed Al Nahyan, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) today hosted Commencement for the Class of 2023, its second cohort, strengthening AI talent capacity and contributing solutions to global challenges, including health, education, and climate.

Empowering cross-disciplinary AI research

Friday, 2 June, 2023

Empowering cross-disciplinary AI research

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Empowering researchers to work together in a structured way across disciplines is a critical function of MBZUAI as the world’s first AI graduate research university. To this end, MBZUAI and RIKEN (Japan's largest comprehensive research institution) Center for Advanced Intelligence Project (AIP), recently co-hosted the MBZUAI / RIKEN-AIP Joint Workshop on MBZUAI’s Masdar City campus.

On Optimizing Mobile Memory, Storage, and Beyond

Thursday, 1 June, 2023

On Optimizing Mobile Memory, Storage, and Beyond

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Current mobile operating systems, such as Android, inherit the Linux kernel. As a result, system software designs that were targeted for servers are now applied in mobile devices. In this […]

Multimodal machine intelligence and its human-centered possibilities

Tuesday, 23 May, 2023

Multimodal machine intelligence and its human-centered possibilities

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Converging developments across the machine intelligence ecosystem––from multimodal sensing and signal processing to computing––are enabling new human-centered possibilities both in advancing science and in the creation of technologies for societal […]

Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks

Monday, 22 May, 2023

Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks

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Performance prediction for Natural Language Processing (NLP) seeks to reduce the experimental burden resulting from the myriad of different evaluation scenarios, e.g., the combination of languages used in multilingual transfer. […]

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