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.
GIE Board Member Glenn Fung, chief research scientist in machine learning and director of data science research at American Family Insurance, is excited about the collaboration between UW-Madison and American Family. As the field …September 30, 2019
Kip Ludwig will lead a more than $2 million NIH grant to test a novel liquid metal electrode as an alternative means of treating chronic back pain. “Right now there is a huge market for …September 26, 2019
Aviad Hai, GIE Fellow and Assistant Professor of biomedical engineering, will use a new grant to develop sensors for brain imaging to provide new insights into brain seizures in epilepsy.September 17, 2019
Kangwook Lee, a new GIE Fellow and assistant professor of electrical and computer engineering, uses information coding to improve understanding and performance of machine learning across large-scale systems.August 23, 2019
GIE Fellow Jiamian Hu is part of a team that hopes to reduce the side effects of medicines and boost their efficacy by delivering them only to their intended targets within the body. His research …August 20, 2019
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