KAUST researchers developed VENTIBAG, a mobile AI-powered ventilator, in response to the COVID-19 pandemic. The device extracts and delivers pure oxygen, adjusting support based on real-time monitoring of the patient's condition via cloud connectivity. Funded by a KAUST Innovation Challenge grant, the portable ventilator is now advancing to the testing stage for medical applications. Why it matters: This innovation addresses critical needs for remote patient care and reducing hospital overcrowding, particularly relevant in resource-constrained environments.
MBZUAI graduate Ahmed Sharshar developed a computer vision application that assesses lung health from a video of a person breathing, estimating Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 second (FEV1), and Peak Expiratory Flow (PEF). The model achieved up to 100% accuracy using thermal video data from 60 participants. Sharshar aims to create lightweight models applicable in developing countries without high-end GPUs. Why it matters: This research showcases the potential of AI to democratize healthcare access through non-invasive, accessible diagnostic tools.
This paper proposes a smart dome system for mosques that uses machine learning to automatically control dome ventilation based on weather conditions and outside temperatures. The system was tested on the Prophet Mosque in Saudi Arabia using K-Nearest Neighbors and Decision Tree algorithms. The Decision Tree algorithm achieved a higher accuracy of 98% compared to 95% for the k-NN algorithm.
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The Technology Innovation Institute (TII) in Abu Dhabi has launched Manarat, a custom-developed control electronics platform for quantum computing. Manarat can control 10 qubits with high accuracy and synchronizes multiple electronic boards with accuracy exceeding 100 picoseconds. TII claims Manarat is five times more cost-efficient than commercial alternatives. Why it matters: This development marks a step toward large-scale quantum computing in the UAE and establishes sovereign capabilities in quantum technologies.
A retrospective study in Abu Dhabi, UAE, developed a machine learning-based prognostic system to predict the risk of seven complications in COVID-19 patients using data from 3,352 patient encounters. The system, trained on data from the first 24 hours of admission, achieved high accuracy (AUROC > 0.80) in predicting complications like AKI, ARDS, and elevated biomarkers in geographically split test sets. The models primarily used gradient boosting and logistic regression.
This paper introduces a longitudinal control system for autonomous racing vehicles with combustion engines, translating trajectory-tracking commands into low-level vehicle controls like throttle, brake pressure, and gear selection. The modular design facilitates integration with various trajectory-tracking algorithms and vehicles. Experimental validation on the EAV24 racecar during the Abu Dhabi Autonomous Racing League at Yas Marina Circuit demonstrated the system's effectiveness, achieving longitudinal accelerations up to 25 m/s². Why it matters: This research contributes to the advancement of autonomous racing technology in the region, showcasing practical applications in high-performance scenarios and fostering innovation in vehicle control systems.
The Technology Innovation Institute (TII) in Abu Dhabi has begun constructing the UAE's first quantum computer. The project started with the arrival of a 300-part cryostat from Finland, designed to cool the computer's brain to extremely low temperatures. The quantum computer will leverage quantum mechanics principles to enhance computational efficiency. Why it matters: This initiative positions the UAE as a regional leader in quantum computing, with potential advancements in fields like medicine, battery technology, and AI.