Powered by logic and large language models, DeepGO-SE predicts the biological role of proteins and could be used to aid drug discovery.
An integrated shuffler optimizes the privacy of personal genomic data used for machine learning.
TOP500, the definitive voice of supercomputer statistics, has today confirmed King Abdullah University of Science and Technology (KAUST) operates the Middle East’s most powerful supercomputer, Shaheen III, with key details about its capabilities revealed at SC23, the international conference for supercomputing. Shaheen III is also ranked 20th in the world rankings.
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.
An open-source software can help align artificial intelligence applications in healthcare with data privacy regulations.
From joining during a pandemic to receiving the Distinguished Teaching Award
Solid-state radiofrequency reflectors will enable seamless wireless connectivity in the
Hyperloop evacuated-tube transport svstem.
Two papers from KAUST's Visual Computing Center were recognized at IEEE VIS 2023, with one introducing a new method for detecting and visualizing vortex structures in 2D fluid flows, and the other presenting a framework for physicalizing biological structures as 3D-printed models.
Skin organoids offer a powerful platform for drug discovery in the ongoing fight against the virus formerly known as monkeypox.
KAUST: Pushing the Frontiers of Science and Technology
A residual-based approach that detects and corrects voltage and frequency anomalies could protect power grids against covert cyberattacks.
A Ph.D. candidate’s passion for animals is helping to drive the development of an AI system that informs conservation practice.
KAUST Professor Roberto Di Pietro has been elected as a member of the prestigious Academia Europaea.