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.
The UA Workforce Development Team Visits Area Schools and Events
The Workforce Development team recently visited Lisa Academy, a STEM course on the U of A campus, and NWACC's Workforce Strategies for a Thriving Region: Manufacturing event. The team presented the UA Power Group Workforce Development’s new industry-aligned virtual...
