SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
Method builds on gaming techniques to help autonomous vehicles navigate in the real world, where signals may be imperfect.
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
The startup OpenSpace is using 360-degree cameras and computer vision to create comprehensive digital replicas of construction sites.
The single piece of glass produces crisp panoramic images.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
Mobile system could reduce health care workers’ exposure to Covid-19 virus.