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X-WR-CALDESC:Events for MBZUAI
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DTSTART;TZID=Asia/Dubai:20230425T090000
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SUMMARY:MBZUAI / RIKEN-AIP Joint Workshop
DESCRIPTION:The AI community is growing fast\, and exciting developments have resulted from cross-disciplinary efforts. Inspired by such achievements\, this workshop aims to provide a platform for people from MBZUAI and RIKEN-AIP but from different disciplines to share the state-of-the-art and perspectives in their respective disciplines\, and to explore the possibility of interdisciplinary cooperation in the development of AI.In this workshop\, top researchers in machine learning\, computer vision\, and natural language processing will present a variety of recent advances and showcase how intelligent systems can be developed and utilized to enhance the capacity of AI to address real problem across various domains. \n\nRegister to attend the MBZUAI / Riken-AIP Joint Workshop and learn from leading AI academics and industry experts\n\n  \n\n\n\n\n25-Apr\n26-Apr\n\n\n9:00\nBrief Introduction\nPreslav Nakov (MBZUAI): Fighting the Global Social Media Infodemic: from Fake News to Harmful Content\n\n\n9:15\nTim Baldwin (MBZUAI): Measuring and Improving Fairness in NLP\n\n\n9:30\nLin Gu (RIKEN): Addressing Practical Challenges in Artificial Intelligence from the Medical Domain to General Tasks AI\n\n\n9:45\nQibin Zhao (RIKEN):  Efficient machine learning with tensor networks\n\n\n10:00\nAbdulmotaleb El Saddik (MBZUAI): AI-Empowered Metaverse Streaming\n\n\n10:15\nYuwei Sun (RIKEN): Meta Learning in Decentralized Neural Networks through the lens of Global Workspace Theory\n\n\n10:30\nCoffee break\n\n\n10:45\nCoffee break\n\n\n11:00\nLe Song (MBZUAI): A family of pretrained AI Models for target discovery and drug design\nSherief Hashima (RIKEN): Bandit Formulations for UAV mounted RIS Networks\n\n\n11:15\n\n\n11:30\nMatthias Weissenbacher (RIKEN): On Generalisation in RL\nFahad Khan (MBZUAI): Towards Detailed Understanding of the Visual World\n\n\n11:45\n\n\n12:00\nMartin Takac (MBZUAI): Training ML models without hyper-parameter tuning – adaptive step-size procedures\nWei Huang (RIKEN): Explainable deep learning: an over-parameterization perspective\n\n\n\nMBZUAI Speakers:\n\nTim Baldwin\nLe Song\nAbdulmotaleb Elsaddik\nMartin Takac\nPreslav Nakov\nFahad Khan\n\nRIKEN-AIP Speakers\n\nQibin Zhao (RIKEN-AIP)\nYuwei Sun (RIKEN-AIP)\nLin Gu (RIKEN-AIP)\nMatthias Weissenbacher (RIKEN-AIP)\nSherief Hashima (RIKEN-AIP)\nWei Huang (RIKEN-AIP)\n\nOrganizers\n\nDr. Tongliang Liu\nDr. Qibin Zhao\nDr. Masashi Sugiyama\nDr. Kun Zhang
URL:https://mbzuai.ac.ae/event/riken-aip-joint-workshop/
LOCATION:Online Webinar
CATEGORIES:Virtual,Conferences
ATTACH;FMTTYPE=image/png:https://staticcdn.mbzuai.ac.ae/mbzuaiwpprd01/2023/04/riken-3.png
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