Channel - ML Hub Seminar Series
The Machine Learning Hub @ KAUST is designed to be the one-stop-shop for machine learning (ML) and artificial intelligence (AI) at KAUST. It is an informal forum for exchanging ideas in these areas, including (but not limited to) theoretical foundations, systems, tools, and applications. It will be providing several offerings to the KAUST community interested in ML and AI, including a regular seminar series where new research in the field is presented, an online social forum dedicated to AI and ML discussions, announcements, brainstorming, collaborations, and hands-on activities (e.g. tutorials/workshops and hackathons) to bolster the growing need for ML and AI education/training on campus. For more details, please visit ml.kaust.edu.sa. This talk will serve as the first installment in the seminar series, during which a more detailed overview of The Hub will be presented. All who are interested in ML and AI on campus are invited to join.
6/1/2022 7:34:56 AM

Channel Videos

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Hidden Backdoors in Deep Learning Systems
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Modern Techniques of Statistical Optimization for Machine Learning
Prof. Tong Zhang, Professor Zhang's research interests are machine learning and big data and their applications. He obtained a bachelor's degree in mathematics and computer science from Cornell University and a Ph.D. in computer science from Stanford University.
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Optimization and Learning for Computational Imaging
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Representation from Graphs: Algorithms and Applications
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The Machine Learning (ML) Hub @ KAUST
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2/13/2019 9:00:00 AM
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