Focused on advancing fundamental and applied machine learning research for Air Force applications, the Machines, Algorithms and Data Laboratory (MADLab) aims to advance the state-of-the-art in efficient and robust machine learning methods, and foster a collaborative research environment between university and Air Force scientists and engineers.
Researchers are investigating ways to address the accessibility of machine learning methods to allow physicians who do not have expertise in computer programming or data science to use these techniques in disease detection and diagnosis.
A collaboration among major universities in the midwest and led by UW-Madison, this annual symposium unites individual research pursuits under a broader perspective for social and economic impact. With dynamic discussions, debates and networking, this noteworthy event showcases the collective talent of the region's top machine learning researchers.
The Machine Learning and Optimization Research (MOR) Consortium sparks knowledge transfer and facilitates interactions between industry partners and researchers at the University of Wisconsin-Madison. With extensive expertise in machine learning and optimization algorithms and applications, MOR’s research group is committed to working with industry partners to solve machine learning and optimization challenges in data analytics, healthcare systems, manufacturing, transportation, signal/image processing, planning, logistics and other commercial applications.
The National Science Foundation’s Division of Chemical, Bioengineering, Environmental and Transport Systems recently extended a Nanoscale Interactions Program grant for UW-Madison Materials Science and Engineering Assistant Professor and Grainger Institute for Engineering Fellow Jiamian Hu. Hu serves as principal investigator …July 3, 2020
MADISON — Nine teams of University of Wisconsin–Madison faculty and collaborators have been awarded nearly $1 million through the American Family Funding Initiative, a research competition for data science projects. Brian Yandell “The American Family Insurance …July 3, 2020
Critical advances in machine learning and artificial intelligence have been accelerated by experts in the College of Engineering. With the launch of a new impact area in Machine Learning and Optimization, Rob Nowak, Professor of …June 2, 2020
Critical advances in machine learning and artificial intelligence have been accelerated by experts in the College of Engineering. With the launch of a new impact area in Machine Learning and Optimization, Rob Nowak, Professor of Electrical and Computer Engineering, …May 1, 2020
Soft materials, such as rubber or polymers that can endure drastic changes to their shape, are promising for applications where flexibility and shapeshifting abilities are paramount. For example, these materials can be used to create …April 17, 2020
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