Traversing from East to West across 10 cities throughout the Kingdom in 30 days, King Abdullah University of Science and Technology (KAUST) Professor of Applied Mathematics and Computational Science Matteo Parsani concludes his journey “Athar: East to West.”
A neural network-based approach offers an extremely fast and highly accurate alternative to the "gold standard" of likelihood estimation for statistical modeling of complex datasets.
Algorithm creates tessellating triangular pieces to build physical replicas of structures such as cells or viruses.
Jian Weng’s journey to becoming a researcher began two decades ago when his family acquired their first computer. KAUST’s newest assistant professor of computer science was instantly fascinated by this seemingly “magical device” and quickly became driven by a desire to understand its inner workings.
KAUST SENTRY team dominate CSAW'23 with back-to-back wins in hardware security and robotics challenges.
A simple yet elegant solution could improve data rates for multiple communications networks that share a common frequency band.
Exploring the potential of 6G technology, the 4th KAUST 6G Summit brought together experts to discuss super-connectivity, closing the digital divide, and driving digital inclusion in Saudi Arabia and beyond.
KAUST ECE students shine bright, winning prestigious international awards.
Zhiyuan Liu, a Ph.D. candidate at KAUST, received the Best Student Award at the ICNS-14 conference for his work on fabricating high-performance micro-LEDs using a novel etching-free method called selective thermal oxidation.
An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.
The KAUST 2023 Workshop on Statistics showcased the significant impact of statistics and data science in various fields, including health, the environment, and renewable energy, emphasizing their importance in shaping a better and more sustainable future.
KAUST is proud to announce that the Terragraph Connectivity Project coordinated by the KAUST Communication Theory Lab run by Prof.
A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.
From joining during a pandemic to receiving the Distinguished Teaching Award