Associate Professor Xin Gao and his group have developed an artificial-intelligence (AI) based solution to help increase COVID-19 testing accuracy. Identifying cases of early stage infection has been particularly challenging for frontline clinicians. Gao's AI-based model, which aims to increase accuracy, has been put to immediate use at King Faisal Specialist Hospital (KFSH) in Riyadh.
Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets.
She loves watching films not for the plot, but in order to rethink her beliefs. She is 22, she graduates from the School of Engineering in the capital. Adilya Bakambekova may seem ordinary: she loves walking in the park, powerlifting, taking care of her five-year-old wiener dog.
Hashtags like #covid19 and #coronavirus help us stay up to date on the developments of the new coronavirus pandemic. But beyond breaking news, tweets also offer a glimpse into the emotional side of the COVID-19 crisis.
Landmine detection research developed by KAUST scientists—Sebastian Celis Sierra, Li Zhang, and Mohamed Farhat—was named among the top three academic winners of the 2020 Ansys Hall of Fame competition. Based in Pennsylvania, U.S., Ansys develop and market multiphysics engineering simulation software for product design.
By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.
Ronghui Lin, a Ph.D. student under the supervision of Professor Xiaohang Li, has been awarded an SPIE 2020 Optics and Photonics Education Scholarship for his “potential long-range contribution to optics, photonics, or other related fields.”
The COVID-19 pandemic has imposed challenges across the globe that need to be solved using scientific discovery and innovation. In line with that, the KAUST Supercomputing Core Laboratory (KSL) has opened a call for proposals that require its supercomputer Shaheen II, as well as other cluster computing resources, to support research projects.
Optical fibers wrapped around date palm trunks could help detect this tree’s most destructive pest early enough to save it.
Konstantin Mishchenko, a Ph.D. student under the supervision of Professor Peter Richtárik, has been selected as one of the Association for the Advancement of Artificial Intelligence’s (AAAI) 12 Outstanding Program Committee Members for 2020. Mishchenko was presented with a certificate in recognition of his outstanding service at AAAI-20 held in New York from February 7-12.