Dr. Chul Min Yeum, an assistant professor in the civil and engineering department at the University of Waterloo, is leading a team of researchers using technologies like 5G and augmented reality to identify structural issues in bridges, buildings and other infrastructure before disaster strikes. Yeum’s research focuses on non-destructive testing and structural health monitoring for man-made structures, and was inspired by University of Toronto professor and AI expert Geoffrey Hinton’s paper “ImageNetClassification with Deep Convolutional Neural Networks.” This paper promoted the value of deep learning in improving image recognition accuracy, which Yeum is using to detect damages in structures.
Previous ArticleHe Hacked Ai Chatbots To Find Flaws And Vulnerabilities, Now Northeastern’s Avijit Ghosh Is Writing A Report On Combating These Problems
Next Article Lessons From A Decade Of Generative Ai