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… discussions on a wide range of topics concerning spoken language technologies, including automated speech recognition, machine learning for languages, and text-to-speech applications. Held biannually, the IEEE SLT Workshop is the flagship event of … Institute Gets High School Students Coding with Python Competition 25 Apr 2021 Read more QCRI to Hold Seventh Annual Machine Learning and Data Analytics Symposium 08 Mar 2021 Read more … Hamad Bin Khalifa University’s (HBKU) Qatar …

… 14 schools based in Qatar on the fundamentals of Python - a widely used language with applications in web development, machine learning and data science. Creative Space emphasized a hands-on approach for all its students, creating an engaging … 14 schools based in Qatar on the fundamentals of Python - a widely used language with applications in web development, machine learning and data science. Creative Space emphasized a hands-on approach for all its students, creating an …

… industry professionals. Her work introduces an innovative approach to precision agriculture which integrates advanced machine learning models and remote sensing technology in order to optimize water use in greenhouses situated in arid regions, … industry professionals. Her work introduces an innovative approach to precision agriculture which integrates advanced machine learning models and remote sensing technology in order to optimize water use in greenhouses situated in arid …

… University’s (HBKU) Qatar Computing Research Institute (QCRI) and MenaML co-hosted the 2025 Middle East and North Africa Machine Learning (MenaML) Winter School, gathering 141 local and international university students as well as industry … University’s (HBKU) Qatar Computing Research Institute (QCRI) and MenaML co-hosted the 2025 Middle East and North Africa Machine Learning (MenaML) Winter School, gathering 141 local and international university students as well as industry …

… such as fatigue, interpretational variations, and the overwhelming number of cases handled by the pathologist. AI and machine learning algorithms are now being developed to overcome these limitations by scanning thousands of images in … paving the way for broader integration of pathology into everyday clinical practice. Integrating Human and Machine While these advances can potentially transform pathology, some might view them as competitors to …

… leukemia white blood cells. To assist, the team used the integration of multi-omics datasets, developing a computational machine learning implementation called Regulatory Element Behavior Extraction Learning to deconvolute the complex, local … leukemia white blood cells. To assist, the team used the integration of multi-omics datasets, developing a computational machine learning implementation called Regulatory Element Behavior Extraction Learning to deconvolute the complex, local …

… for the disease in a short time.  AI can help correlate otherwise disparate pieces of information. For example, machine learning techniques can help find connecting patterns between the chemical structure of a drug and the protein structure … and Ritonavir2 (ranked second by QCRI’s framework) - received approval for treating COVID-19.   “In my opinion, machine learning and AI have huge potential in the field of drug repurposing, not only for pandemics but for personalized …

… content was “more discoverable and easily consumed”. Dr Robinson was a pioneer in developing the application of deep learning in speech recognition in the 1980s and 1990s at the University of Cambridge. Dr. Robinson said: “Speechmatics … a broad range of industries and geographies with market leading speech-to-text services based on the latest research in machine learning and artificial intelligence.” QCRI Arabic Language Technologies principal engineer Ahmed Ali, who has … a broad range of industries and geographies with market leading speech-to-text services based on the latest research in machine learning and artificial intelligence.” QCRI Arabic Language Technologies principal engineer Ahmed Ali, who has …

… complex the AI models are, the more opaque they become, meaning that, on many occasions, we do not understand how the machine derived an output from a specific input. AI experts refer to this as the black box problem, and they call for … ensure that patients receive treatment in a fair manner, and to establish accountability for medical decisions based on machine-learning recommendations.  Dr. Mohamad Saad (Scientist, Statistical Genetics and Bioinformatics), Dr. Sabri Boughorbel …

… behaviors. In turn, these devices have enabled the collection of a staggering amount of data that is needed to develop machine-learning models.  The race towards data collection has been further motivated by success stories of high-tech companies … behaviors. In turn, these devices have enabled the collection of a staggering amount of data that is needed to develop machine-learning models.  The race towards data collection has been further motivated by success stories of high-tech …