AIDR – Artificial Intelligence for Digital Response
AIDR—the Grand Prize winner of the 2015 Open Source Software System Challenge—is a free and open platform to filter and classify social media messages related to emergencies, disasters, and humanitarian crises. AIDR uses human and machine intelligence to automatically tag up to thousands of messages per minute. https://aidr.qcri.org
QCRI/CSE paper advances research and innovation by addressing limitations of AI technologies and their applications to global challenges
A research paper, originating from doctoral work at CSE and an ongoing project at QCRI, developed through collaboration between the two institutions, has been accepted for presentation at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 in Nashville, USA. Authored by Eng. Sara A. Al-Emadi, PhD candidate, CSE, and Research Associate, QCRI, […]
CipherBot: An AI-based Bilingual Interactive Platform for Supporting Progressive Education through Collaborative Storytelling
Partnering with Academyati to enhance progressive education setting, we will develop CipherBot, an AI-based platform that uses machine learning models at the backend to prepare story-based projects for students and encourages them to learn various concepts through these projects. The platform will allow educators to design learning material in English and translate it to Arabic […]
Oral Cancer Artificial Intelligence Screening System
QCRI, Qatar University (QU), Hamad Medical Corporation (HMC), Primary Health Care Corporation (PHCC), Complutense University – Madrid in Spain, University of Oviedo in Spain, Allied Hospital of Faisalabad in Pakistan, and McGill University in Canada has joined forces to develop a generalizable oral cancer AI screening system using multi-ethnic cohorts and to evaluate its diagnostic […]
Fanar
Fanar is an Arabic AI Large Language Model developed by the Qatar Computing Research Institute at Hamad Bin Khalifa University, a member of Qatar Foundation for Education, Science, and Community Development. It is sponsored by the Qatari government through the Ministry of Communications and Information Technology. Fanar bridges Arabic language and culture with the latest […]
Aircraft Predictive Maintenance Project
This joint project between QCRI and Boeing Company aims to predict aircraft parts that need replacement before failure occurs. This involves finding the possible physical parts that may have caused the maintenance messages (MMSGs) to appear in the flight leg, even before flight deck effects (FDEs) alerts utilizing embedding space coupling with graph theory algorithms. […]
Oral Cancer Artificial Intelligence Screening System Project
QCRI, Qatar University (QU), Hamad Medical Corporation (HMC), Primary Health Care Corporation (PHCC), Complutense University – Madrid in Spain, University of Oviedo in Spain, Allied Hospital of Faisalabad in Pakistan, and McGill University in Canada has joined forces to develop a generalizable oral cancer AI screening system using multi-ethnic cohorts and to evaluate its diagnostic […]
Fanar Arabic-Centric Large Language Model
An Arabic-Centric end-to-end multimodal LLM that will become Qatar’s flaghip foundational model https://elmi.hbku.edu.qa/en/projects/fanar-arabic-centric-large-language-model
Progressive Education
Design and implement targeted surveys of learners (and potentially educators) at different levels in Qatar Foundation, and at different stages of the “applicant-to-alumni” journey. Analyze the results of these surveys using machine learning tools, and potentially augment the survey data with available data from other sources such as learning management systems. The goal will be […]
Privacy Personas in the MENA Region: A Large-Scale Analysis of 21 countries
Previous research has established that social media users in the Middle East and North Africa (MENA) region have distinct behaviors that separate them from other regions of the world, e.g., relating to profile pictures, the role of family, and cultural norms. However, the social media privacy behaviors and needs of users in the MENA region […]