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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.

Results: 97 Tag: machine learning
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Lin provides critical insights at SIGIR 2023

Monday, 21 August, 2023

Lin provides critical insights at SIGIR 2023

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MBZUAI affiliated professor of Machine Learning Chih-Jen Lin gave one of the keynotes at the recent 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, held in Taipei, Taiwan.

Metaverse healthcare in red, green, and blue

Wednesday, 9 August, 2023

Metaverse healthcare in red, green, and blue

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MBZUAI Professor Abdulmotaleb El Saddik and a team of collaborators have demonstrated that a humble webcam can be used to provide real-time data about human health.

MBZUAI at ACL2023

Monday, 10 July, 2023

MBZUAI at ACL2023

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At last count, MBZUAI scientists have 26 papers accepted at the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023). In total, 11 MBZUAI faculty, researchers, postdocs, and students have academic research accepted at ACL 2023 alongside their national and international co-authors. This year’s ACL meeting is slated to take place in Toronto, Canada from July 9 to July 14, 2023.

10 in 10: Q&A with Emirati engineers, Fatima and Rzan

Friday, 23 June, 2023

10 in 10: Q&A with Emirati engineers, Fatima and Rzan

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These two Emirati master’s students are from a long line of engineers; their difference, they are young, ambitious, and talented women signing up to – employ and deploy artificial intelligence (AI) – to expediate solutions to some of the world’s most pressing issues.

Science and spirituality for environmental warrior

Wednesday, 21 June, 2023

Science and spirituality for environmental warrior

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A quote by prominent Indian spirituality guru Sadhguru has guided Mohamed bin Zayed University of Artificial Intelligence’s (MBZUAI) Class of 2023 valedictorian Klea Ziu throughout her master's in machine learning journey. She credits her achievements during the past two years to her meditation practice and finding balance in her surroundings and demanding schedule.

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.

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.

Making microgrids work for people and planet

Tuesday, 16 May, 2023

Making microgrids work for people and planet

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Using a machine learning technique commonly deployed in healthcare settings called federated learning, researchers are using the complexities of energy production and use in microgrids to model novel ways to find the optimal balance between individual needs and grid-level needs, and do it with a keen eye on sustainability.

Yuanzhi Li awarded 2023 Sloan Research Fellowship

Thursday, 16 February, 2023

Yuanzhi Li awarded 2023 Sloan Research Fellowship

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MBZUAI Affiliated Assistant Professor of Machine Learning Yuanzhi Li has been selected for a prestigious Sloan Research Fellowship in computer science by the Alfred P. Sloan Foundation. The Fellowship is awarded in honor of extraordinary researchers whose creativity, innovation, and research accomplishments make them stand out as the next generation of leaders.

Mass production of AI solutions

Wednesday, 4 January, 2023

Mass production of AI solutions

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Those countries who gain the ability to mass-produce cheap, rapidly deployable AI systems at scale will be the ones who reap the rewards from the Fourth Industrial Revolution (4IR). This ability relies upon developing an AI operating system that can connect software and hardware efficiently – something Dr. Qirong Ho, MBZUAI Assistant Professor of Machine Learning, is working to make a reality.

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