Using Data Science to Find the Next El Nino
A new approach to climate data analysis hopes to improve regional forecasts.
Tag: machine learning
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications. Researchers at WID are developing new methodology and theory for extracting useful information from data which may be noisy or high-dimensional, contain missing elements, or come from a variety of different sensors or streaming input.
Machine learning at WID plays a key role in problems as diverse as understanding the immune system, finding the funniest cartoon captions, and developing driverless cars.
Machine learning is an important component of WID’s Data Science Hub.
Ardhendu Shekhar Tripathy
Adaptive algorithms in machine learning, high-dimensional statistics
Air Force-Backed Center to Make Machine Learning More Independent, Predictable, Secure
Much remains mysterious in the realm of machine learning. The next generation of machine learning algorithms is expected to not only bolster national defense capabilities, but also benefit civilians.
WID Researchers Looking to the Future with UW2020 Awards
Investigators from WID are among the recipients of the latest round of UW2020 awards.
Applying Control Theory to Algorithm Design Earns Laurent Lessard an NSF CAREER Award
Laurent Lessard is working to improve the algorithms and computer software that keep the modern world running smoothly.
Wei Zhang
Graduate Student, Page Group
Application of deep learning to address various important problems in healthcare domain.
Mruganka Kashyap
Working in the cross-section of Optimization (in Controls setting) and Machine Learning
Harrison Rosenberg
Machine Learning, Signal Processing, Graph Theory, and Engineering Education
Weaning Crops from Nitrogen Fertilizers: Examining Evolution’s Innovations
WID researcher Sushmita Roy and collaborators at UW–Madison and the University of Florida will use a $7 million grant from the U.S. Department of Energy to study how some plants partner with bacteria to create usable nitrogen and to transfer this ability to the bioenergy crop poplar.
Weipeng Zhou
Focus on the development and application of statistical tools for high-dimensional "omics" data
Irene Giacomelli
Postdoc, Page Group
Cryptography and in its many intersections with other fields, such as machine learning and security.
App Helps Farmers Make the Most of their Corn Harvest
A new tool developed at UW-Madison could save farmers time and money during the fall feed-corn harvest and make for more content, productive cows year-round.
Willem Marais
Graduate Student, Willett Group
Machine learning, signal processing, statistical inference in atmospheric science
Davis Gilton
Sequential decision making processes, similarity learning, and statistical signal processing.
Nikhil Nakhate
Graduate Student, Gupta Lab
Speckle imaging for gesture recognition and structured light patterns for better 3D reconstruction
