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.
Inside MUSiC: Dr. Alan Mantooth on Silicon Carbide Innovation
In this podcast, Dr. Alan Mantooth discusses how Arkansas is emerging as a leader in silicon carbide research and manufacturing. He explores the state’s growing role in advanced power‑electronics innovation and the impact MUSiC will have on U.S. semiconductor...
