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.

A new approach to identify LLM hallucinations: Uncertainty quantification presented at ACL

Friday, 23 August, 2024

A new approach to identify LLM hallucinations: Uncertainty quantification presented at ACL

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LLMs can mix facts with fiction, but MBZUAI researchers aim to identify potential hallucinations by analyzing uncertainty at the token level.

Integrating Virtual Reality and Robotics: Enhancing Human and Robot Experiences in Assistive Technologies

Thursday, 22 August, 2024

Integrating Virtual Reality and Robotics: Enhancing Human and Robot Experiences in Assistive Technologies

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In the dynamic field of human-robot interaction (HRI), the necessity to dynamically tailor assistive functionalities to individual users’ personalities and states complicates the acquisition and learning from relevant data, which […]

A new standard for evaluating Arabic language models presented at ACL

Thursday, 22 August, 2024

A new standard for evaluating Arabic language models presented at ACL

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MBZUAI's Fajri Koto explains why and how he and other researchers compiled the first benchmark dataset in Modern Standard Arabic.

Latent Space Exploration for Safe and Trustworthy AI Models

Wednesday, 21 August, 2024

Latent Space Exploration for Safe and Trustworthy AI Models

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The recent performance advancement in deep neural network models has substantially increased their dissemination to vast application areas. Given this widespread adoption, ensuring the safety and trustworthiness of AI models […]

Super-aligned Machine Intelligence via a Soft Touch

Wednesday, 21 August, 2024

Super-aligned Machine Intelligence via a Soft Touch

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Physical embodiment is central in aligning human intentions with machine intelligence, where the moment of touch holds the truth between the simulated and real worlds. In this talk, I will […]

Testing the limits of vision language models: A new benchmark dataset presented at ACL

Tuesday, 20 August, 2024

Testing the limits of vision language models: A new benchmark dataset presented at ACL

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At ACL 2024, MBZUAI researchers introduced EXAMS-V, a new benchmark dataset to evaluate VLMs like GPT-4V and Gemini on their reasoning.

How AI and robotics contribute to the UAE’s growth sectors including energy, agriculture, and aviation

Tuesday, 20 August, 2024

How AI and robotics contribute to the UAE’s growth sectors including energy, agriculture, and aviation

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Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has been proactively recruiting some of the global thought leaders in robotics – since launching its new department in August 2023 – to develop the curriculum and applied research areas that will deliver the most benefit across industry.

Key Research in Embodied AI

Monday, 19 August, 2024

Key Research in Embodied AI

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In recent years, the embodied AI has garnered widespread attention from both academia and industry, particularly in exploring the capabilities of manipulation, task planning and navigation. However, a primary challenge […]

Alumni Spotlight: Uniting people to help AI do good

Monday, 19 August, 2024

Alumni Spotlight: Uniting people to help AI do good

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MBZUAI alumna Raisa Mahomed is helping advance AI in the UAE by bringing academia and industry closer together.

Orchestrated efficiency: A new technique to increase model efficiency during training

Wednesday, 14 August, 2024

Orchestrated efficiency: A new technique to increase model efficiency during training

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Presented at ICML 2024, Horváth's new study proposes a framework to efficiently train machine learning models for use in federated settings, where data is processed on user devices to ensure privacy.

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