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.

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 […]

Understanding and improving foundation models: from environmental risk to social responsibility

Thursday, 2 May, 2024

Understanding and improving foundation models: from environmental risk to social responsibility

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Large foundation models are essential in the realm of generative AI, yet they confront significant limitations. These limitations encompass challenges in adapting to the unpredictable real world, including out-of-distribution data, […]

Vision and insight: Charting the course of embodied AI with Ian Reid

Thursday, 2 May, 2024

Vision and insight: Charting the course of embodied AI with Ian Reid

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Embodied AI refers to systems that interact with the physical world and can learn and adapt to the environment around them.

Real-time Few-shot Realistic Avatars

Wednesday, 1 May, 2024

Real-time Few-shot Realistic Avatars

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Works on avatars achieved great results last years. However real applications need not only to generate high-quality video with authentic facial features but also to support the online generation. This […]

Learning Robot Super Autonomy

Monday, 29 April, 2024

Learning Robot Super Autonomy

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Autonomous mobile robots will play a critical role in addressing diverse time-sensitive and hazardous tasks across various application scenarios. These include logistics, reconnaissance, search and rescue missions, monitoring, transportation, space […]

Towards Real-world Fact-Checking with Large Language Models

Friday, 26 April, 2024

Towards Real-world Fact-Checking with Large Language Models

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Misinformation poses a growing threat to our society. It has a severe impact on public health by promoting fake cures or vaccine hesitancy, and it is used as a weapon […]

Representation learning for deep clustering and few-shot learning

Thursday, 25 April, 2024

Representation learning for deep clustering and few-shot learning

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Deep learning’s ability to extract meaningful representations from complex inputs has significantly advanced machine learning. In this talk, we will focus on representation learning in label-scarce scenarios, where the absence […]

Evolution of Foundational Models: From Deep Learning in Healthcare to Neuro-inspired AI

Wednesday, 24 April, 2024

Evolution of Foundational Models: From Deep Learning in Healthcare to Neuro-inspired AI

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Foundational models have rapidly evolved from deep learning networks to generative AI. In this talk, I will give an overview of the various projects relating to foundational models in my […]

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