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… impact the daily lives of users as well as companies focusing on information management. The QCRI technology is based on machine learning and deep linguistic and semantic analysis, enabling machines to understand questions and comments by forum users. By carrying out intelligent exploration of textual data, …

… co-develop the first Arabic phenotyping for social communication behaviors as a diagnostic tool for ASD, using machine learning and artificial intelligence to be used in conjunction with ADOS-2 diagnostic tool.   Education PhD in … co-develop the first Arabic phenotyping for social communication behaviors as a diagnostic tool for ASD, using machine learning and artificial intelligence to be used in conjunction with ADOS-2 diagnostic tool.   …

… Associate Professor and Associate Dean for Education, participants discussed efforts to advance disease diagnosis with machine learning, relevant single-cell and single-strand sequencing techniques, and future directions in genomic research. Dr. … Halima Bensmail, Principal Scientist, Qatar Computing Research Institute (QCRI), delivered a presentation centered on a machine learning approach  to enhance transcriptomics and advance disease diagnosis. Speaking after the conclusion of …

… investigator at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), will address the topic of ‘Learning to See’, at the HBKU Researchery on Monday, March 25. In his talk, Dr. Torralba will discuss recent advances in … National Science Foundation CAREER Award. He is collaborating with QCRI scientists Ferda Ofli and Ingmar Weber on using machine learning to analyze social media images to better understand food habits in Qatar. For more information about … National Science Foundation CAREER Award. He is collaborating with QCRI scientists Ferda Ofli and Ingmar Weber on using machine learning to analyze social media images to better understand food habits in Qatar. For more information about …

… development which includes acquiring data, filtering ‘noise’, constructing a training sample of data and finally, machine learning and AI to classify relevant data pools.   In Qatar, ongoing research covers the entire spectrum. CSE at HBKU is … development which includes acquiring data, filtering ‘noise’, constructing a training sample of data and finally, machine learning and AI to classify relevant data pools.   In Qatar, ongoing research covers the entire spectrum. CSE at …

… I am a Gates Scholar with a PhD in Computer Sciences from the University of Cambridge in Automatic Affect Inference in Learning Environments. In my current research engineering role at QCRI, I collaborate with the research and software … and usability. Prior to this, I have worked as a Research Scientist at IBM Research with experience in applied machine learning, data analysis, user experience research, experiment design and usability testing. I mainly worked in … Sciences University of Cambridge, UK 2010 Research Interests Human Computer Interaction User Experience Research Applied Machine Learning Digital Transformation Experience Senior Software Engineer Research Engineering, QCRI April 2022 - …

… Awarded under the OVPR’s Thematic Research Grant Program, the projects showcase how HBKU’s research strengths in machine learning, artificial intelligence (AI), humanities, and biomedicine are being further developed to address needs … Discovery capabilities, CSE’s AI expertise, and HBKU IT’s cloud hosting infrastructure. The AI platform will mature machine-learning decision-making and enable automated and robotics-assisted materials synthesis adaptable to Qatar’s …

… of the 2015 DiscoMT shared task on pronoun translation. In Proceedings of the EMNLP’2015 Second Workshop on Discourse in Machine Translation (DiscoMT'2015), Lisbon, Portugal, 17 September 2015.  Published : Jun 2015 Kaisong Song, Shi Feng, …

… associated with these disorders. AI Technologies in Behavioral Assessment AI has introduced sophisticated tools such as machine learning (ML) and natural language processing (NLP), which hold great potential for enhancing the diagnostic process for … metabolomics, have deepened our understanding of the biological markers associated with ADHD and ASD. AI, particularly machine and deep learning, has proven invaluable in analyzing multi-omics data to uncover complex biological patterns …

… fast growing cities like Doha cope with the transformation that's going on. We do this by leveraging big data using machine learning and AI techniques to tackle challenges such as traffic congestion, air pollution, and resilience of cities. For … fast growing cities like Doha cope with the transformation that's going on. We do this by leveraging big data using machine learning and AI techniques to tackle challenges such as traffic congestion, air pollution, and resilience of …