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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.

Problems in network archaeology: root finding and broadcasting

Thursday, 2 March, 2023

Problems in network archaeology: root finding and broadcasting

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Large networks are often naturally modeled by random processes in which nodes of the network are added sequentially, according to some stochastic rule. Uniform and preferential attachment trees are among […]

Multimodal Factual Knowledge Acquisition

Thursday, 2 March, 2023

Multimodal Factual Knowledge Acquisition

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Traditionally, multimodal information consumption has been entity-centric with a focus on concrete concepts (such as objects, object types, physical relations, e.g., a person in a car), but lacks ability to […]

Alumnus innovator builds AI venture

Tuesday, 28 February, 2023

Alumnus innovator builds AI venture

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Young entrepreneur Abdulwahab Sahyoun – a recent master’s graduate from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) – is sharing his story in hopes to inspire other tech innovators to follow their ambitions in launching their own startup.

From Big Data to Bedside (DB2B):  Artificial Intelligence in Precision Oncology

Monday, 27 February, 2023

From Big Data to Bedside (DB2B): Artificial Intelligence in Precision Oncology

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Cancers are genomic diseases caused by somatic genome alterations (SGAs). The cause and disease mechanisms of tumors are highly individualized and heterogeneous, leading to a broad spectrum of molecular, cellular, […]

Scaling Generative Adversarial Networks

Friday, 24 February, 2023

Scaling Generative Adversarial Networks

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Using pretrained representations has become ubiquitous in computer vision and natural language processing. Pretraining unlocks better generalization, significant improvements in downstream tasks, and faster convergence. In image synthesis, however, the […]

Sustainable AI at scale

Thursday, 23 February, 2023

Sustainable AI at scale

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AI at scale is powering new breakthroughs in science for good, including drug design, clean energy, climate change, pandemic mitigation, creative content generation, and intelligent automation.

Enabling Practical and Rich User Digitization

Wednesday, 22 February, 2023

Enabling Practical and Rich User Digitization

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A long-standing vision in computer science has been to evolve computing devices into proactive assistants, that enhance our productivity, health and wellness, and many other facets of our lives. User […]

Point correlations for graphics, vision and machine learning

Monday, 20 February, 2023

Point correlations for graphics, vision and machine learning

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Sampling is at the core of computer graphics, vision and machine learning. Sample correlations can significantly impact the accuracy of the algorithm. For example, global illumination for image synthesis involves […]

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.

Disrupting The Drug Development Process Using Multi-Modal Deep Learning and Patient-on-a-Chip Platform

Monday, 6 February, 2023

Disrupting The Drug Development Process Using Multi-Modal Deep Learning and Patient-on-a-Chip Platform

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Drug development process is a lengthy and expensive process that can take more than 10 years and cost billions of dollars. Despite the major efforts, the process will fail in […]

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