Using artificial intelligence for scientific research across a number of disciplines has led to a new startup based on a powerful online tool, where users automatically generate their own machine-learning models.
An inexpensive piece of hardware integrated with solar panel controllers can protect isolated power networks from cyberattacks.
Illuminating the twisting pathway to efficient wireless communications based on light.
KAUST Ph.D. students from the KAUST Secure Next Generation Resilient Systems (SENTRY) Lab recently won the CSAW Cybersecurity Games & Conference’s (CSAW'22) "Hack My Robot Challenge (HMR)."
New book Decision Trees with Hypotheses by Mohammad Azad, Igor Chikalov, Shahid Hussain, Mikhail Moshkov, and Beata Zielosko has been published online.
Smart windows that can polarize sunlight could offer a low energy alternative to Wi-Fi.
A global weather prediction model built by KAUST researchers has been nominated for the Gordon Bell Prize for outstanding achievements in high-performance computing.
KAUST Professor of Electrical and Computer Engineering Eric Feron received two best paper awards at this year’s 41st American Institute of Aeronautics and Astronautics (AIAA)/Institute of Electrical and Electronic Engineers (IEEE) Digital Avionics Systems Conference (DASC 2022).
A boy from Thuwal, who remembers vividly the construction of KAUST and how it influenced the local people, is now a student at CEMSE. This is his story and how his story made history.
CEMSE statisticians developed a framework which enables modeling of a range of meteorological and environmental datasets from up to 2 million locations globally.
A state-of-the-art method for modeling the behavior of liquids described by the Computational Sciences Group represents a breakthrough in computational speed for viscous liquids.
KAUST alumnus Yu Li (Ph.D. '20) was recently named amongst the Forbes' "30 Under 30 Asia list" – Class of 2022. Forbes recognized the current assistant professor of computer science and engineering at The Chinese University of Hong Kong (CUHK) for his work developing algorithms to solve problems in biology and health care.
Mohamed Elhoseiny and his PhD student Youssef Mohamed are teaching AI to capture the full spectrum of human emotions when annotating artwork in order to reduce emotional bias in computer-generated captions.
Xin Gao's team developed an interactive web portal where cancer scientists can interrogate how RNA splicing in noncoding parts of genes fuels the growth of different types of tumors.
A new AI diagnostic tool developed by KAUST scientists allows doctors to visualize lung damage caused by COVID-19 in more detail.