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 Researchers Enhancing Spacecraft Functionality for NASA
The National Aeronautics and Space Administration (NASA) awarded nearly $750,000 to Min Zou, a Distinguished Professor of mechanical engineering at the U of A to develop bioinspired surface textures that repel lunar dust. Member of the University of Arkansas Power...
