Intelligent carpet gives insight into human poses
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
A new art/science collaboration uses molecular structures as its creative medium.
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
The technology uses tactile sensing to identify objects underground, and might one day help disarm land mines or inspect cables.
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
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.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
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.