Ngan Le, member of the UA Power Group and assistant professor of computer science and computer engineering, studies AI and computer vision. Le and her collaborators developed a highly accurate AI framework for reading chest x-rays called “ItpCtrl-AI”, which stands for interpretable and controllable artificial intelligence. The researchers taught the AI software to look at chest X-rays like a radiologist by examining the gaze of radiologists, both where they look and how long they looked at that area. The heat map created from this eye-gaze dataset showed the AI software where to search for abnormalities and what section of the image required less attention.
U of A Collaborates with Defense Department to Develop Video Tracking Tool
The University of Arkansas has joined a nationwide research team funded by the Defense Advanced Research Projects Agency (DARPA) to develop next-generation video object tracking technology. Led by electrical engineering and computer science assistant professor and UA...
