Filling the gaps in a patient’s medical data
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.
Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.
Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.
Design reduces by 99 percent the data users need to join the network and verify transactions.
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.
Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.
Vinod Vaikuntanathan aims to improve encryption in a world with growing applications and evolving adversaries.
Tool for nonstatisticians automatically generates models that glean insights from complex datasets.
The new version of the popular free coding platform builds on a robust community of kid coders.
System breaks down complex designs into easily modifiable shapes for custom manufacturing and 3-D printing.
First measurement of its kind could provide stepping stone to practical quantum computing.
Awarded every four years, the Wilkinson Prize last came to MIT in 1999.
Lincoln Laboratory's lidar data, processed quickly with support from the organization MCNC, helped FEMA assess flooding and damages caused by Hurricane Florence.
Headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets.
High-power, tunable design could be used for chemical detection in outer space, medical imaging, more.