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.
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.