Mixing precision for model acceleration
Jul 26, 2021
A mixed-precision approach for modeling large geospatial datasets can achieve benchmark accuracy with a fraction of the computational run time.
Jul 26, 2021
A mixed-precision approach for modeling large geospatial datasets can achieve benchmark accuracy with a fraction of the computational run time.
Apr 14, 2021
The statistics used to understand social networks reveal the diversity of functional connections in the brain.
Apr 8, 2021
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
Mar 29, 2021
Large-scale analysis of pedestrian data from three European cities examines how building density and street design influence pedestrian behavior.
Dec 20, 2020
A high-frequency model developed using data from new high-precision rain gauges gives fresh insight into the dynamics of rain and runoff events.
Dec 10, 2020
A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
Nov 22, 2020
Harnessing the power of deep learning leads to better predictions of patient admissions and flow in emergency departments.
Sep 27, 2020
Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia’s wind energy potential.
Jul 23, 2020
High-resolution analysis of wind speed across Saudi Arabia can help fast track the expansion of the Kingdom’s emerging world-class wind energy industry.
Jun 7, 2020
Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets.
Apr 21, 2020
Transforming spatial statistics to capture the skewness and tail of the statistical distribution gives a clearer picture of weather and climate data.
Feb 24, 2020
A universal high-performance computing interface allows popular statistical tools to run efficiently on large geospatial datasets.
Dec 8, 2019
Better prediction of extreme winds at sparsely observed locations could help optimize the design of wind farms.
Oct 23, 2019
Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
Sep 29, 2019
A more accurate and efficient method of capturing the local factors that lead to extreme rainfall enables better flood prediction across larger regions.
Sep 15, 2019
More accurate detection of hotspot clusters provides new insights into the behavior of air pollution.
Aug 18, 2019
The spatial variation in different air pollution components helps identify possible targets for pollution control.
Jul 21, 2019
Pyramidal graphs resulting from statistical analyses of EEG recordings can improve our understanding of epileptic seizures.
May 5, 2019
Automatic detection of uncharacteristic data sequences could change the way data is processed and analyzed.
Mar 31, 2019
The latest statistical methods from research on complex high-dimensional environmental data also yield powerful tools for interpreting brain activity.
Dec 2, 2018
A more accurate way of resolving spatial patterns in weather could lead to better predictions of climate change.
Nov 5, 2018
Harnessing the power of virtual reality will help to visualize data and improve statistical models.
Oct 31, 2018
A new statistical tool for collectively analyzing large sets of brainwaves promises to accelerate neurofunctional research.
Oct 18, 2018
Modeling changes in brain activity over time provides deeper insights into learning and behavioral responses.
Oct 2, 2018
A more efficient approach to modeling spatial data involving thousands of variables keeps computation time in check.
Sep 19, 2018
A tool developed by Håvard Rue has transformed data analysis, interpretation and communication. It has been applied broadly: from modeling the spread of infectious diseases to mapping fish stocks.
Sep 4, 2018
Simultaneously modeling air pollutants and weather under extreme conditions highlights the potential for serious health risks.
Jul 15, 2018
The first quantification of wind energy in Saudi Arabia points to high wind power potential for many decades to come.
May 20, 2018
Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
May 13, 2018
Mapping genetic influences on connections between neural networks could lead to a better understanding of brain organization and behavior.
Mar 18, 2018
Faster computations will allow researchers to see the finer details of brain activity in functional brain imaging.
Feb 25, 2018
More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation.
Feb 18, 2018
A technique that uses the power of computing could solve statistical problems cheaper and faster than current methods.
Feb 11, 2018
Ying Sun is a multi-award-winning statistician who is inspired by the value of statistics in solving real-world problems.
Jan 28, 2018
A method to visualize hidden statistical structure helps make sense of environmental data.
Jan 7, 2018
A new statistical technique could be used to more accurately locate global wind resources.
Jan 1, 2018
Coordinated robot swarms can achieve amazing feats, but even a single faulty unit can have serious consequences.
Nov 5, 2017
Study of the mismatch between spatial environmental data and a commonly used statistical analysis suggests simpler statistics are sufficient in many cases.
Oct 29, 2017
A powerful statistical tool could significantly reduce the burden of analyzing very large datasets.
Oct 8, 2017
A statistical technique for modeling large datasets improves interpretation of climate and environmental data.
Sep 3, 2017
A new statistical approach for environmental measurements lets the data determine how to model extreme events.
Jul 8, 2017
A systematic approach to selecting and configuring statistical models improves predictions of extreme events.
Apr 15, 2017
Statistical monitoring technology can detect serious falls and immediately warn healthcare providers.
Mar 4, 2017
A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels.
Feb 25, 2017
A statistical technique for automatically cleaning erroneous data from weather-balloon observations will improve the accuracy of weather forecasting.
Jan 28, 2017
Sensitive detection of partial faults in antenna systems could prevent performance degradation in wireless networks.
Nov 26, 2016
A statistics-driven method for the early detection of emerging problems in industrial processes could improve industrial safety, reliability and productivity.
Jul 23, 2016
A statistics-based data compression scheme cuts data storage requirements for large-scale climate simulations by as much as 98 percent.
Jun 18, 2016
A statistical model that accurately describes rainfall at both extremes opens the way for more reliable predictions of flood and drought risk.
Apr 30, 2016
Improved random modeling allows scientists to generate realistic patterns of high-frequency rainfall.
Apr 16, 2016
Consistent around the world's ocean, the phases of the moon affect the upward migration of the world’s most abundant type of fish for feeding.
Oct 3, 2015
A statistical method helps to identify abnormal signals in electroencephalograms and locate their source in the brain.