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… and Smart Cities Next Generation Networking and Internet Trust, Security and Privacy Artificial Intelligence and Machine Learning Data Science and Big Data Systems Engineering Cloud, Computing, Networking and Storage Wireless and Mobile … and Smart Cities Next Generation Networking and Internet Trust, Security and Privacy Artificial Intelligence and Machine Learning Data Science and Big Data Systems Engineering Cloud, Computing, Networking and Storage Wireless and …

… data visualization, and collaborative data science. Mohammad Amin Sadeghi is a scientist at QCRI, where he studies machine learning applications. Prior to this, he was an Assistant Professor in the Department of ECE at the University of Tehran. … Urbana-Champaign. Dr. Sadeghi has previously worked at Google, Amazon and Adobe.  His research interests include machine learning, computer vision and their applications. Watch again Time 10:00 - 12:00 (GMT +3:00) Location This event …

… of paramount importance.  In this webinar, two COVID-19 prediction models will be presented. The first one uses a deep learning approach to forecast the cumulative number of COVID-19 cases based on data from countries having similar … Said received his PhD degree in Computer Science from the University of Burgundy, France. His research interests include machine learning and computer vision. He is also interested in urban computing and mobile health systems. Dr. Said is … Said received his PhD degree in Computer Science from the University of Burgundy, France. His research interests include machine learning and computer vision. He is also interested in urban computing and mobile health systems. Dr. Said is …

… and fees are non-refundable Register now   Smart App Development Students aged 15 to 17 will learn the basics of AI and machine learning, and will develop a smart mobile app that employs machine learning. Basic knowledge of block coding and App Inventor is required. Date Time Age Course fees July 27 - July …

… 15:30 Age: 9 - 12 Register now   Smart App Development Students aged 12 to 15 years old will learn the basics of AI and machine learning and will develop a smart mobile app that employs collective intelligence. Basic knowledge of block coding and … 15:30 Age: 9 - 12 Register now   Smart App Development Students aged 12 to 15 years old will learn the basics of AI and machine learning and will develop a smart mobile app that employs collective intelligence. Basic knowledge of block …

… include computational linguistics and NLP, disinformation, propaganda, fake news and bias detection, fact-checking, machine translation, question answering, sentiment analysis, lexical semantics, web as a corpus, and biomedical text … Farooq , PhD is a principal scientist and leads the Digital Health group within QCRI.  His areas of interest are in machine learning, specifically applications for healthcare analytics including clinical informatics, health economics outcomes …

… include computational linguistics and NLP, disinformation, propaganda, fake news and bias detection, fact-checking, machine translation, question answering, sentiment analysis, lexical semantics, web as a corpus, and biomedical text … Fact Verification. Giovanni Da San Martino is a scientist at QCRI, whose research interests are at the intersection of machine learning and NLP, with applications for community question answering and news analysis. Since 2018, he has been involved …

… Hamad Bin Khalifa University’s (HBKU) Qatar Computing Research Institute (QCRI) and Boeing co-hosted the eighth Machine Learning and Data Analytics Symposium (MLDAS 2023) from October 23 to 24, 2023, at Researchery, Education City. MLDAS 2023 gathered researchers and industry experts to engage in a knowledge exchange focused on novel applications of machine learning and data analytics in aviation, education, sports analytics, and more. Professionals from Amazon, …

… Bin Khalifa University where he leads the LLM Modeling Team in Arabic Language Technology. Dr. Boughorbel holds a PhD in Machine Learning from the University of Paris Saclay. With over 15 years of experience in machine learning and artificial intelligence, he has made significant contributions to healthcare analytics, language …

… role as authoritative hub for novel technologies Entity: College of Science and Engineering Leveraging cutting-edge machine learning and computational simulation methods, Dr. Tanvir Alam, Assistant Professor at the College of Science and … (EGFR), the multidisciplinary group of researchers have developed a highly accurate drug response predictive model using machine learning and molecular dynamics (MD) simulation. Dr. Alam collaborated with researchers from Pakistan and Hong …