AI+ML for rapid detection of bacterial infection to reduce hospital-acquired infections and prevent septic shock and heart attack
The antibiotic susceptibility test (AST) is essential in the clinical diagnosis of serious bacterial infections such as sepsis, but it typically takes 2–5 days for sample culture, antibiotic treatment, and result reading. Detecting metabolites secreted from bacteria with surface-enhanced Raman scattering (SERS) and using robust ML+AI algorithms will enable the identification of the “fingerprint” spectra […]
Data-centric AI
Data-centric AI is emerging as a discipline of “systematically engineering the data” for AI. The goal is to make it easier for practitioners to understand, program and iterate on datasets, instead of spending time on models. In this project, we will focus on the effect of “bad data” on different ML/DL pipelines and what can […]
Survey2Persona
Survey2Persona (https://s2p.qcri.org/) a tool for analysis and visualization of survey data. Survey2Persona requires no knowledge of statistics from the user – all processing via point-and-click interfaces. Survey2Persona transforms numerical survey responses and demographic data into ‘personas’ for actionable insights.
METRIC
METRIC: (https://metric.qcri.org/) is a tool for collecting, measuring, analyzing, and reporting the engagement of online systems through real interactions of customers or users, including real-time. METRIC enables system stakeholders to enhance their understanding of their customers via actual behavior on particular pages in the online systems, including the focus and interaction with sub-elements on a […]
Acua – Audience, Customer, and User Analytics
Acua (https://acua.qcri.org/) is an AI+ML+HCI tool for the integrated audience, customer, and user analytics across multiple platforms providing actionable insights for multiple objectives and roles. Acua addresses the key challenges of data analytics! Data updated daily! Processed, cleaned, and AI+ML aggregated! Integration of multiple feeds! (e.g., social media, email, website, CRM). Robust architecture! Scales to […]
Machine Learning and Data Analytics Symposium – MLDAS 2022
Date: 17-18 October, 2022 Location: Cambridge, Massachusetts at the Boeing Aerospace and Autonomy Center on the MIT Campus. Introduction The purpose of this symposium is to bring together researchers, practitioners, students, and industry experts in the fields of machine learning, data mining, and related areas to present recent advances, discuss open research questions, and bridge the gap […]
Data-driven personas
Bernard J. Jansen, Joni Salminen, Soon-gyo Jung, Kathleen Guan
Springer Nature (2021)
Impact of AI on Qatar's Job Market
By Lokendra Chauhan| Qatar Center for Artificial Intelligence Introduction Expert consensus on Artificial Intelligence (AI) is that it is a transformational technology and will alter the very nature of jobs as we know. While the world has been moving towards digitization and an increase in AI-adoption, the COVID-19 pandemic and the dramatic shift towards an online […]
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
Zhen Chen, Pei Zhao, Fuyi Li, Yanan Wang, A. Ian Smith, Geoffrey I. Webb, Tatsuya Akutsu, Abdelkader Baggag, Halima Bensmail, Jiangning Song
Briefings in Bioinformatics (2020)
AI AND DATA SCIENCE FOR COVID-19
Introduction The unfolding of the COVID-19 pandemic has been accompanied by a parallel tsunami of data and information related to the disease, its spread and global impact. Phrases and words like “social distancing”, “asymptomatic vs. symptomatic”, “pool testing”, “flattening of the curve”, “drug repurposing” and “lockdowns” have become part of our daily lexicon. The speed […]