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.
Not many undergraduates have the chance to get their hands on top-of-the-line industrial control equipment. But in late-spring 2019, University of Wisconsin-Madison engineering juniors and seniors in the class Computer Control of Machines and Processes (ME …May 2, 2019
Extremely precise quantum sensors promise to be a transformative technology with a variety of potential applications. For example, quantum sensors could advance neuroimaging by allowing researchers to detect nanoscale changes in electromagnetic fields in the …April 8, 2019
“For applications that involve human lives you want to be very confident in the decisions these predictive models make,” says Dimitris Papailiopoulos, an assistant professor in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. …April 4, 2019
Watch Aviad Hai’s talk from the Wearable Tech + Digital Health + Neurotech Silicon Valley Conference that was held at Stanford University on February 21 & 22, 2019.February 21, 2019
Sony, the multinational electronics, entertainment and financial services corporation, honored Electrical and Computer Engineering Assistant Professor Dimitris Papailiopoulos with a faculty innovation award for distributed deep learning. The award is designed to accelerate and expand the creation of new …February 12, 2019
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