Helping computers perceive human emotions
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Chemical engineering graduate student is invited to participate in the agency's 60th anniversary symposium in September.
Project out of the MIT Media Lab uses biosensors and machine learning to optimize the sensory experience in individual work environments.
Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
Given a video of a musical performance, CSAIL’s deep-learning system can make individual instruments louder or softer.
Postdoc Cristina Rea's detour into banking provides a new route back to plasma research.
Machine learning network offers personalized estimates of children’s behavior.
Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
PhD candidate and Amazon Robotics Challenge winner Maria Bauza helps to improve how robots interact with the world.
Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.”
Faculty from across the Institute tapped to lead new initiative in human and machine intelligence.
Mechanical engineering researchers are using AI and machine learning technologies to enhance the products we use in everyday life.
Neural network could expedite complex physics simulations.