Dane Morgan is featured in a June 2016, College of Engineering story about Informatics Skunkworks.
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Computer-generated database of diffusion values is shared online
Dane Morgan
Professor
Materials Science & Engineering
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.
Big Data: Madison visionaries turn tiny pieces of data into big ideas
Rob Nowak
Professor
Electrical & Computer Engineering
Rob Nowak and the beer mapper app he developed are highlighted in a recent Capital Times front page feature.
Game-changing computational approach takes the guesswork out of materials design
Dane Morgan
Professor
Materials Science & Engineering
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.
Finding Meaning in Big Data
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.
How New Yorker Cartoons Could Teach Computers To Be Funny
“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.”
Stephen Wright, five others appointed to WARF professorship
Steve Wright
Professor
Computer Science
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
Ellenberg Wins Euler Prize for “How Not to Be Wrong”
Jordan Ellenberg is the recipient of the 2016 Euler Book Prize for an outstanding book in mathematics.
The Science of Funny: Active Machine Learning & Cartoons
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.
What is Machine Learning
Blue Sky Science: What is machine learning? from Morgridge Institute on Vimeo.
Rob Nowak lends his machine learning expertise to Morgridge Blue Sky Science Video.