Po-Ling Loh was the one of the key people who created the Midwest Machine Learning Symposium. The symposium aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of machine learning researchers at all career stages. It will be held at the Logan Center at University of Chicago on June 6-7, 2018. The MMLS was founded in 2017 and Prof. Loh is this year’s chair. More information:
Dimitris Papailiopoulos co-chaired the first SysML Conference in Stanford, California February 15-16, 2018. SysML is a new conference targeting research at the intersection of systems and machine learning. The conference aimed to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. More information: http://www.sysml.cc/2018/index.html
Dane Morgan is featured in a June 2016, College of Engineering story about Informatics Skunkworks.
University of Wisconsin—Madison engineers recently used powerful computers to quickly and accurately develop the world’s largest computed database of information about an important materials-mixing process called diffusion.
Led by Dane Morgan, Harvey D. Spangler Professor in Materials Science and Engineering at UW–Madison, the researchers published details of their advance July 19 in the journal Scientific Data. They also made the entire database freely available online, along with an online application to easily search and visualize the data and a utility called the Materials Simulation Toolkit (MAST) for engineers across the globe to access and use in their own materials design applications.
Read entire Scienceblog.com article
Electrical & Computer Engineering
Rob Nowak and the beer mapper app he developed are highlighted in a recent Capital Times front page feature.
Dane Morgan teams with John Booske to identify a promising candidate compound that could be used in next-generation vacuum electronic devices.
Full story by Sam Million-Weaver.
Discovery Fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn. Full story at wid.wisc.edu.
“The computer models Nowak and his team are developing are called adaptive crowdsourcing algorithms. They attempt to weed out the weakest captions as quickly as possible to get more people to vote on the potential winners.”
Full Story on C|net
Stephen J. Wright, George B. Dantzig Professor of Computer Sciences, works on theory and applications of mathematical optimization, a field that concerns itself with techniques for finding the best element (as measured by a mathematical function) from a large or infinite set of possible alternatives. Wright has served as chair of the Mathematical Optimization Society and three terms as a trustee of the Society for Industrial and Applied Mathematics. – See full article by Chris Barncard
Jordan Ellenberg is the recipient of the 2016 Euler Book Prize for an outstanding book in mathematics.
The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest. See full story on wid.wisc.edu.