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.
Thursday, 14 July, 2022
Powerful predictions and privacy
Our devices collect vast troves of data about our lives. This data is useful for myriad reasons—alerting us to health concerns, optimizing our bank accounts, providing an endless stream of fascinating content to consume. But once that data is collected and centralized it becomes a target for hackers, marketers, political campaigns, and more. So how do we get what we need out of the data we collect, without opening ourselves to risk?
Thursday, 14 July, 2022
On the Utility of Gradient Compression in Distributed Training Systems
A rich body of prior work has highlighted the existence of communication bottlenecks in distributed training. To alleviate these bottlenecks, a long line of recent research proposes to use gradient […]
Saturday, 9 July, 2022
On a mission to end fake news
The Republic of Finland is known globally for snow, happiness, and more recently, their efforts to limit the impact of fake news on their population. Through massive investments in education, fake news has, by some accounts, been sidelined. It's a phenomenon not too dissimilar to spam email — a costly problem from decades past that, thanks to machine learning as well as user awareness, has largely been relegated to the trash bin of our collective inboxes.
Wednesday, 6 July, 2022
Learning with Noisy Labels
Label noise is ubiquitous in the era of big data. Deep learning algorithms can easily overfit the noise and thus cannot generalize well without properly handling the noise. In this […]
Tuesday, 5 July, 2022
MBZUAI and AIQ look to energize AI research
AIQ and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed a Memorandum of Understanding (MoU) that will energize joint research into AI related technologies with an emphasis on solutions for the energy sector. The agreement was signed in the presence of AIQ CEO Omar Al Marzooqi, MBZUAI President, Professor Eric Xing, and senior management from both organizations.
Tuesday, 5 July, 2022
Bridging Causality and Machine Learning: How Do They Benefit from Each Other?
Modern machine learning techniques can discover complicated statistical dependencies between random variables and make use of them to perform predictions on future observations. However, many real problems involve causal inference, […]
Friday, 1 July, 2022
MBZUAI faculty lead global conferences
For generations the peer review process has been a central part of conducting and publishing great science, and as such, is considered important for assessing the quality of faculty and their work. In AI and related disciplines - both publishing in conference proceedings and leadership of conferences - are indicators of quality. MBZUAI faculty, for example, have led or co-led a remarkable number of top, global AI conferences in 2022 including the Association for Computational Linguistics (ACL), the International Conference on Machine Learning (ICML), Causal Learning and Reasoning (CLeaR 2022), and the conference on Uncertainty in Artificial Intelligence (UAI).
Friday, 24 June, 2022
Using child’s play for machine learning
Metaphorically, the toddler brain is similar to a sponge. It is ever evolving — both recalling things from the past, and developing new connections to the present. This capacity is so great, in fact, that the founder of the Montessori learning system, Dr. Maria Montessori, termed the first six years of life the period of the "Absorbent Mind" due to children’s extraordinary capacity to soak up and recall vast amounts of new information. Not surprisingly then, for the machine learning community, one long-standing goal has been to mimic the super-human feats of learning observed in the developing brains of toddlers.
Wednesday, 22 June, 2022
Peering into humanity through music
A murmuration of starlings dart, twist, chirp, ascend, and accelerate together, in what looks, from afar, like an organism at war with itself. It is both together,
Tuesday, 21 June, 2022
CTRL: Closed-Loop Data Transcription via Rate Reduction
In this talk, we introduce a principled computational framework for learning a compact structured representation for real-world datasets, that is both discriminative and generative. More specifically, we propose to learn […]
