MIT-SenseTime Alliance funds projects from all five schools
Interdisciplinary work will advance research in human and machine intelligence.
Interdisciplinary work will advance research in human and machine intelligence.
Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors.
New York Times op-ed by MIT president says a national focus on innovation and research is more effective than only playing defense on trade practices.
FinTech@CSAIL industry collaboration will work to improve business models, access to data, and security in the finance sector.
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel.
Computer scientists find that physicians’ “gut feelings” influence how many tests they order for patients.
Project out of the MIT Media Lab uses biosensors and machine learning to optimize the sensory experience in individual work environments.
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.
Machine learning network offers personalized estimates of children’s behavior.
Computer Science and Artificial Intelligence Laboratory system enables people to correct robot mistakes on multiple-choice tasks.
Algorithm makes the process of comparing 3-D scans up to 1,000 times faster.
Lab will work with Chinese company on research in artificial intelligence, language processing, and human-computer interaction.
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.