Two junior faculty have led in the organization of new ML/AI related conferences.
Machine Learning
UW Department of Radiology announces new ML Initiative
A modern learning experience
Dane Morgan is featured in a June 2016, College of Engineering story about Informatics Skunkworks.
Computer-generated database of diffusion values is shared online
Dane Morgan 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.
Big Data: Madison visionaries turn tiny pieces of data into big ideas
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 teams with John Booske to identify a promising candidate compound that could be used in next-generation vacuum electronic devices.
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 …
Stephen Wright, five others appointed to WARF professorship
Six members of the University of Wisconsin–Madison faculty, including Stephen Wright, have been appointed to Wisconsin Alumni Research Foundation named professorships.
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.