The Michigan Engineer News Center

Lie-detecting algorithm spots fibbing faces better than humans

Rada Mihalcea, EECS associate professor, discusses how they trained a machine learning algorithm on the faces of defendants in recordings of real trials to detect truth tellers correctly 75% of the time.
The outside of the Ford Robotics building

U-Michigan, Ford open world-class robotics complex

The facility will accelerate the future of advanced and more equitable robotics and mobility | Medium Read