Small unmanned aerial vehicles (UAVs) are ideal capturing devices for high-resolution urban 3D reconstructions using multi-view stereo. Nevertheless, practical considerations such as safety usually mean that access to the scan target is often only available for a short amount of time, especially in urban environments.
A likeness between genes of the SARS and COVID-19 viruses could inform research into potential treatments.
KAUST faculty member Robert Hoehndorf was recently promoted from the rank of assistant professor to associate professor. Hoehndorf’s promotion caps a year-long process where the German researcher’s scientific and scholarly output was measured and evaluated by internal and external reviews.
Fernando is a 23-year-old Information Technology graduate fromYachay Tech University in Urcuquí, Ecuador. He has planned to continue his academic career at KAUST under the supervision of Professor Robert Hoehndorf.
A method for finding genes that spur tumor growth takes advantage of machine learning algorithms to sift through reams of molecular data collected from studies of cancer cell lines, mouse models and human patients.
Abeer Almutairi, a student under the supervision of Professor Robert Hoehndorf, defended her Master's thesis "Unsupervised Method for Disease Named Entity Recognition" on November 4, 2019.
Mona Alshahrani a Ph.D. candidate under the supervision of Professor Robert Hoehndorf Defended her Ph.D. thesis "Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine."
Bridging the knowledge gap in artificial intelligence requires an embedding function that helps step between different types of "thinking."
An international team of scientists, including KAUST high performance computing experts and astronomers from the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ), in collaboration with NVIDIA, is taking the search for habitable planets and observation of first epoch galaxies to the next level.