University of Wisconsin-Madison electrical and computer engineering PhD students Wei Zeng and Tianen Chen recently won the programming contest held as part of the International Workshop on Logic and Synthesis (IWLS) 2021 held virtually in July. Five universities entered the contest, including submissions from students in Brazil, Taiwan, Japan, India and the United States.
The participants were challenged to design a computer program that can learn an and-inverter graph (AIG) with a limit on the number of internal and-nodes. The programs were tested on the CIFAR-10 dataset, a collection of 60,000 color images in ten categories used to train machine learning algorithms with the UW-Madison solution logging the highest accuracy rate.
Author: Jason Daley