Channel - KAUST Conference on Artificial Intelligence
The KAUST Conference on Artificial Intelligence is a two full-day event that will bring together KAUST faculty and researchers to highlight exciting AI research being done on campus. It will feature the broad AI landscape at KAUST by delving into topics on machine learning, AI theory and foundations, systems, and the many applications of AI in various scientific fields ranging from healthcare and biology to automation and visual computing.
5/7/2021 12:29:36 PM

Channel Videos

Accelerated Deep Learning via Efficient, Compressed and Managed Communication
Prof. Marco Canini, Professor in Computer Science and Principal Investigator, Software-Defined Advanced Networked and Distributed Systems
4/28/2021 12:00:00 PM
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AI and Health – Challenges and Opportunities
Prof. Jesper Tegnér, Bioscience - BESE
4/28/2021 8:20:00 AM
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AI for Cybersecurity vs. Cybersecure AI: a chicken and egg problem?
Prof. Paulo Esteves-Veríssimo
4/28/2021 1:00:00 PM
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AI-enabled Analysis of Our Social Expression and Interactions in Digital Age
Prof. XiangLiang Zhang
4/28/2021 6:40:00 AM
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Artificial Intelligence(AI) Inspired Designs of Acoustic and Photonics Systems
Prof. Ying Wu
4/29/2021 7:40:00 AM
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Attackability of Machine Learning Models with Applications in the Discovery of Safety-critical Aerial Operations
Prof. XiangLiang Zhang
4/29/2021 7:00:00 AM
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Counterfactual Representation Learning with Balancing Weights
Dr. Lawrence Carin, KAUST Provost
4/29/2021 6:00:00 AM
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Efficient Parallel Training for Very Large Deep Neural Networks
Prof. Panagiotis Kalnis
4/28/2021 12:20:00 PM
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Enabling Safe Cyber-Physical System autonomy with AI
Prof. Eric Feron, Professor, Electrical and Computer Engineering
4/28/2021 10:20:00 AM
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Fish Behavior Recognition and Data-driven Control for Smart Aquaculture
Prof. TAOUS-MERIEM LALEG-KIRATI, Professor, Electrical and Computer Engineering
4/28/2021 11:00:00 AM
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From Private Learning to Trustworthy Learning
Prof. Di Wang
4/29/2021 6:20:00 AM
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Imagination supervised Machines that can See, Create, Drive, and Feel
Prof. Mohamed Elhoseiny
4/29/2021 11:40:00 AM
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IMCP: An Efficient In-Memory Convolutional Neural Network (CNN) Processor
Prof. Khaled Nabil Salama
4/28/2021 12:40:00 PM
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Intelligent Design and Discovery of Molecules
Prof. Mani Sarathy, Associate Professor of Chemical Engineering and Associate Director of the Clean Combustion Research Center (CCRC) at KAUST.
4/29/2021 8:00:00 AM
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KAUST Smart Health Initiative: Importance of AI and ML
Default Presenter
4/28/2021 8:00:00 AM
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Machine Learning for Science: Learning Representations and Governing Equations from Scientific Data
Prof. Jesper Tegnér, Bioscience - BESE
4/29/2021 10:40:00 AM
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Next-Gen Mapping and Monitoring of Coral Reefs with SLAM and SfM
Prof. Michael Berumen, Marine Science Director, Red Sea Research Center
4/28/2021 11:20:00 AM
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On Solving a Key Challenge in Federated Learning: Local Steps, Compression and Personalization
Prof. Peter Richtarik, Professor of Computer Science and Mathematics at KAUST.
4/29/2021 6:40:00 AM
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Opening Remarks
President Tony F. Chan, King Abdullah University of Science and Technology
4/28/2021 6:00:00 AM
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Panel Discussion
Default Presenter
4/29/2021 12:40:00 PM
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Practical Lessons and Opportunities from Testing Autonomous Mobility at KAUST
Mohamed Abdel-Aal, Head of Digital Experience and Innovation
4/28/2021 10:00:00 AM
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Recent Advances in Optimization for Machine Learning
Prof. Peter Richtarik, Professor of Computer Science and Mathematics at KAUST.
4/28/2021 7:00:00 AM
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Recent Topics in Generative Modeling
Prof. Peter Wonka
4/29/2021 11:20:00 AM
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Revealing functional and phenotypic consequences of molecular aberrations through ontologies
Prof. Robert Hoehndorf
4/29/2021 10:20:00 AM
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RNA secondary structure prediction – revisiting an old problem from new perspectives
Prof. Xin Gao, Professor, Computer Science
4/29/2021 10:00:00 AM
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The AI Initiative at KAUST
Prof. Bernard Ghanem, Professor in the CEMSE division and Interim Lead for KAUST AI Initiative
4/28/2021 6:20:00 AM
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Towards AI-based precision medicine in breast cancer – from molecular-, to imaging-, to radiogenomics analysis
Prof. Xin Gao, Professor, Computer Science
4/28/2021 7:25:00 AM
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Training Machines to Recognize Reliable Protein-Protein Docking Poses
Dr. Didier Barradas Bautista
4/29/2021 8:20:00 AM
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