A method for forecasting high-dimensional functional time series could improve the accuracy of mortality predictions across multiple populations.

A systematic analysis of sex differences in mortality of young people up to the age of 24 will help policymakers address key disparities and reduce preventable deaths.

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.

A simple yet elegant solution could improve data rates for multiple communications networks that share a common frequency band.

A "deep" many-layered neural network does the heavy lifting in calculating accurate predictions from large complex environmental datasets.

Solid-state radiofrequency reflectors will enable seamless wireless connectivity in the Hyperloop evacuated-tube transport system.

Long-term satellite data shows a significant cooling effect of vegetation on land surface temperature.

A data-driven modeling system that reconstructs oceanic circulation of the Red Sea highlights the importance of developing region-specific historical datasets.

Applying a penalty for increasing complexity provides better control over flexible statistical models.

Laser experiments reveal how high voltage affects charged ions in burning fuel.

Weather variability and extreme events affect the optimal design and operation of renewable energy systems, particularly for striking a trade off between life cycle cost and carbon dioxide emissions.

Insight into the spinning-induced scattering of sound could help create next-generation acoustic devices using new phonon modes.

A continuous data supply ensures data-intensive simulations can run at maximum speed.

The ability to efficiently simulate the noise generated by wings and propellers promises to accelerate the development of quieter aircraft and turbines.   

A better mathematical understanding of how big waves form could lead to better prediction of tsunami impacts.

A new approach for training algorithms makes the machine learning process faster and more accurate. 

The Formula 1 race track is the ultimate testbed for a KAUST researcher's latest work.

Genome sequencing of two Red Sea bacteria highlights their potential as industrial workhorses. 

Software could transform underground imaging of fossil fuel reserves by providing unprecedented detail in record time. 

Tiny loudspeakers can efficiently produce low-frequency sounds due to effects similar to the quantum physics governing atoms.

A loudspeaker design could allow small devices to produce powerful low-frequency sounds.

A new method for visually presenting complex data distributions provides a much-needed tool for management, analysis and interpretation.

An efficient wireless signal optimization scheme achieves peak performance for next-generation mobile communications.

A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids. 

A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem. 

Wafer-thin, scratch-proof films can generate a rainbow of colors using random metallic nanostructures.

Sophisticated statistical methods can detect ozone pollution hot spots and monitor instrument failure.

Carefully designed crystal structures can now be tuned to control how they transmit acoustic waves.

Researchers round up clues to track down enhancers.

Researchers uncover a potential treasure trove of microbes living with mangroves.

An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.

Carefully-designed meta-surfaces are used to build acoustic lenses that can transmit highly focused sound waves.

An interactive computational tool opens new possibilities for "developable" surfaces.

Planar designs are used to model complex curved surfaces, with applications from architecture to 3D prints.

An integrated set of genetic mechanisms controls whether bees behave as foragers or nurses.

A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments.

KAUST’s new supercomputer will enable ground-breaking scientific modeling and analysis in Saudi Arabia and worldwide.

Regulating an overlooked set of genes may help biologists manipulate cells to find new therapy options.