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.
$3.5M Award Boosts Power Electronics Research at U of A
The University of Arkansas has secured a $3.5 million award from the National Institute of Standards and Technology to elevate its roles as a leader in power-electronics research and development. The funding will support upgrades to the High Density Electronics Center...
