308 results
Digital Humanitarians (Optimizing Organizational Processes for Digital Disaster Response)
Digital Humanitarians (Optimizing Organizational Processes for Digital Disaster Response). In collaboration with Microsoft Research and the Standby Volunteer Task Force (SBTF).
Ethraa
Ethraa - an initiative to enrich the quality and quantity of digital Arabic content. An editing tool has been developed to help translate content for Wikipedia. Link to beta.
Rayyan: The Systematic Reviews Web App
Rayyan: The Systematic Reviews Web App. Rayyan aims to build tools to support the process of creating, analyzing, and maintaining systematic reviews, in terms of data extraction, cleaning, integration, and mining of published clinical trials and journal articles. A production system is available here and a demo here.
Tamr
Tamr, a start-up founded in 2013, is based on technology developed at QCRI that allows for scalable data curation and integration by deduplicating the resulting dataset composite. Link to the paper here.
AIDR(Artificial Intelligence for Disaster Response)
AIDR is one of QCRI’s flagship projects that aims to enable humanitarian organizations, government, NGOs, and affected communities to improve the effectiveness of humanitarian strategies such as preparedness, mitigation, and response during humanitarian crises and emergencies. AIDR platform employs state-of-the-art machine learning and computer vision techniques to process information communicated via social media to gain situational awareness and actionable insights for humanitarian response.
Planetary Response Network (Crowdsourcing Satellite Imagery Analysis for Humanitarian Response)
Planetary Response Network (Crowdsourcing Satellite Imagery Analysis for Humanitarian Response). In collaboration with Planet Labs and Zooniverse.
Hot Summer Cool Research
Hot Summer Cool Research - The Arabic Language Technologies team worked with undergraduate students during QCRI's summer internship program on a number of projects.
gCloud: System for On-demand Sharing of GPUs in Clouds
gCloud: System for On-demand Sharing of GPUs in Clouds: This project develops novel methods to efficiently share GPUs among different applications in fine-grain and on-demand manner, yielding high utilization of GPUs and reduction in the execution times of applications. The developed methods and algorithms have been integrated in the popular OpenStack cloud management software system, which is backed up and used by many companies worldwide.
More info can be found in our HPGC 2013 paper.
Web Data Integration
Web Data Integration. Web data is a great opportunity, but using it in analytics requires new solution to overcome the variety and volatility. In this project we exploit web data for data integration tasks.