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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.

MBZUAI research at ICLR 2023

Monday, 1 May, 2023

MBZUAI research at ICLR 2023

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At last count, MBZUAI scientists have 22 papers accepted at the Eleventh International Conference on Learning Representations (ICLR 2023). In total, 14 MBZUAI faculty, researchers, postdocs, and students have academic research accepted at ICLR 2023 alongside their national and international co-authors. ICLR 2023 commenced today in Kigali, Rwanda, and will run until Friday.

Self-Supervised Learning AI and AI for Molecular Biology

Monday, 1 May, 2023

Self-Supervised Learning AI and AI for Molecular Biology

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Learning visual representations in an unsupervised fashion has attracted much attention as it greatly reduces the cost of collecting a large volume of labeled data to train deep networks. Among […]

COP28 President-Designate on economic diversification, sustainable growth, and global competitiveness

Saturday, 29 April, 2023

COP28 President-Designate on economic diversification, sustainable growth, and global competitiveness

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Artificial intelligence research will play a key role in harnessing global opportunities and creating practical, tangible solutions for increasing AI adoption as well as generating economic and social value, said H.E. Dr. Sultan Ahmed Al Jaber, UAE Minister of Industry and Advanced Technology, and President-Designate of COP28, during a visit yesterday to Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Big-model AI in drug design

Friday, 28 April, 2023

Big-model AI in drug design

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The degree to which AI is profoundly transforming health and medicine might not be immediately apparent, even for close observers of artificial intelligence research. In the near term, interactions with medical staff are still largely analog, for example; but it is becoming quite clear, among people for whom the intersection of AI and human health is a passion, that all aspects of health and medicine are poised for change.

NLP meets Psychotherapy: from Estimating Depression Severity to Estimating the Client’s Well-Being

Friday, 28 April, 2023

NLP meets Psychotherapy: from Estimating Depression Severity to Estimating the Client’s Well-Being

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Language plays a crucial role in psychotherapy and the related processes. Linguistic expression not only reveals emotional states, but also provides insight into the immediate cognitions of the client. In […]

All that Glitters ain’t Gold: Examining Machine Learning as Socio-technical Infrastructure.

Thursday, 27 April, 2023

All that Glitters ain’t Gold: Examining Machine Learning as Socio-technical Infrastructure.

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In this talk, I will present the issue of automated content moderation and the impacts of machine learning on society. Presenting work from NLP, privacy preserving machine learning, science and […]

AI and MBZUAI youth ambassadors to combine at COP28

Wednesday, 26 April, 2023

AI and MBZUAI youth ambassadors to combine at COP28

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Eight MBZUAI students representing eight different countries took part in an immersive role play simulation of a COP28 session last week as part of the Climate Ambassadors Programme (CAP).

Parameter-Efficient Fine-Tuning for NLP Models

Wednesday, 26 April, 2023

Parameter-Efficient Fine-Tuning for NLP Models

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State-of-the-art language models in NLP perform best when fine-tuned even on small datasets, but due to their increasing size, finetuning and downstream usage have become extremely compute-intensive. Being able to […]

Co-Modality Active sensing and Perception (C-MAP) in Autonomous Vehicles, Augmented Reality, Remote Environmental Monitoring, and Robotic Grasping

Tuesday, 25 April, 2023

Co-Modality Active sensing and Perception (C-MAP) in Autonomous Vehicles, Augmented Reality, Remote Environmental Monitoring, and Robotic Grasping

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Combining multiple sensor modalities to achieve more robust understanding of environment and robot status is an emerging research area in robot navigation and autonomous driving. To fuse sensors such as […]

Adapting to Distribution Shifts: Recent Advances in Importance Weighting Methods

Monday, 24 April, 2023

Adapting to Distribution Shifts: Recent Advances in Importance Weighting Methods

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Distribution shifts are conceivable in practical machine learning scenarios, such as when a model is trained on data collected in different environments, or when a model is used in a […]

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