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.
$1 Million Awarded to Boost Semiconductor Workforce Development
The University of Arkansas received a $1 million grant from the Arkansas Department of Higher Education to expand workforce training in electronics and semiconductors. This program will equip students with foundational skills for careers in the semiconductor industry,...
