Tag: New Yorker

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.” Full Story on C|net

Posted in LUCID, Machine Learning Tagged with: , ,

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.

Posted in LUCID, Machine Learning Tagged with: , ,