Dr. Mrigank Rochan (PhD) and Tzu-Ling Liu in the USask Department of Computer Science are working to build AI tools that are faster and more efficient. Credit: University of Saskatchewan
For artificial intelligence tools that rely on interpreting data from the real world, both speed and accuracy are critically important. Researchers at the University of Saskatchewan (USask) have developed a tool to make AI that sees the real world—from applications in medical procedures to self-driving cars—faster and more efficient.
"It's so important for AI models to make decisions faster and more accurately," said Tzu-Ling Liu, a recent Master of Science graduate at USask and one of the authors of the paper. "Imagine your self-driving car can identify and detect danger in 0.1 seconds, but our model can decide to stop in a fraction of that time. Which car would you buy?"
The paper was presented at the Institute of Electrical and Electronics Engineers/Computer Vision Foundation (IEEE/CVF) Conference on Computer Vision and Pattern Recognition (CVPR 2026), held in Denver June 3–7. The paper was written by Liu and co-authors Dr. Ian Stavness (Ph.D.), head of USask's Department of Computer Science, and Dr. Mrigank Rochan (Ph.D.), an assistant professor in the department.
