UW News
Jenq-Neng Hwang
March 28, 2024
Q&A: How to train AI when you don’t have enough data

As researchers explore potential applications for AI, they have found scenarios where AI could be really useful but there’s not enough data to accurately train the algorithms. Jenq-Neng Hwang, University of Washington professor of electrical and computer and engineering, specializes in these issues.
November 12, 2014
Moving cameras talk to each other to identify, track pedestrians

University of Washington electrical engineers have developed a way to automatically track people across moving and still cameras by using an algorithm that trains the networked cameras to learn one another’s differences.