MBZUAI has implemented three HyFlex (hybrid flexible) classrooms using Zoom to connect remote and in-person students. The classrooms include smart whiteboards, sensor cameras, and multiple screens, benchmarked against setups at Harvard and King's College. A research article on the development of MBZUAI's HyFlex approach is under peer review. Why it matters: This initiative enhances hybrid learning in the region and provides a model for other universities looking to integrate advanced technology into their educational spaces.
This paper introduces a hybrid deep learning and machine learning pipeline for classifying construction and demolition waste. A dataset of 1,800 images from UAE construction sites was created, and deep features were extracted using a pre-trained Xception network. The combination of Xception features with machine learning classifiers achieved up to 99.5% accuracy, demonstrating state-of-the-art performance for debris identification.
MBZUAI appointed Ekaterina Kochmar as an assistant professor of NLP to advance AI-assisted learning. Kochmar co-founded Korbit AI, an AI-powered dialogue-based tutoring system for STEM subjects. Korbit AI aims to democratize education by providing personalized, high-quality education globally at minimal cost. Why it matters: This appointment highlights MBZUAI's commitment to AI in education and personalized learning, positioning the UAE as a hub for innovation in educational technology.
KAUST researchers led by Dr. Muhammad Hussain have developed a flexible, transparent silicon-on-polymer based FinFET inspired by the folded architecture of the human brain's cortex. The team created a 3D FinFET on a flexible platform without compromising integration density or performance. They aim to demonstrate a fully flexible silicon-based computer by the end of the year. Why it matters: This research could lead to the development of ultra-mobile, foldable computers and integrated circuits, advancing the field of flexible electronics in the region.
KAUST's Center of Excellence for Renewable Energy and Storage Technologies (CREST) hosted a seminar on rechargeable hydrogen gas batteries. Professor Wei Chen from the University of Science and Technology of China (USTC) presented the seminar. The talk covered aqueous nickel-hydrogen gas, proton-hydrogen gas, halogen-hydrogen gas, and nonaqueous lithium-hydrogen gas batteries, along with applications like self-charging batteries. Why it matters: Hydrogen gas batteries represent a promising avenue for large-scale energy storage, particularly for integrating renewable energy sources into electric grids.