ECE researchers are using multi-channel electroencephalogram (EEG) data to automatically detect attention-deficit/hyperactivity disorder (ADHD) in children and to better understand the associated underlying brain functionality.
Making Computers Truly Intelligent
Researchers are investigating one of the greatest challenges in computing: finding unconventional forms of computer parallelism, without which computers will never achieve the level of complexity found in the human brain.
Exploring the Gap Between Biological and Artificial Intelligence
ECE researchers are investigating applications of Active Inference to Artificial Intelligence. Active Inference proposes that biological systems survive through behavior that continually minimizes a statistical-bound relative to an internal model of themselves and the environment. Our researchers are exploring the ramifications of this theory as it pertains to robotics and other cyberphysical systems.