Understanding how people make sense of information in the information age
Graduate student Manon Revel uses quantitative methodologies to investigate how advertising in online publications affects trust in journalism.
Graduate student Manon Revel uses quantitative methodologies to investigate how advertising in online publications affects trust in journalism.
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Eaman Jahani examines how resources are distributed across networks as a social and engineering systems PhD student at the Institute for Data, Systems, and Society.
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings.
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
The instrument could bring powerful sensing and imaging capabilities out of the lab and into hospitals, airports, or other settings.
New approach could spark an era of battery-free ocean exploration, with applications ranging from marine conservation to aquaculture.
United under the Sustainability Incubator Fund, researchers strategize sustainable sourcing solution for crises at the local and global level.
Letting an algorithm decide which maintenance holes to test for evidence of coronavirus could improve pandemic containment efforts.
MIT conference illustrates technologies developed in response to the pandemic and new opportunities for AI solutions for clinical management.
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware.
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
An online symposium explores roles for research universities and outlines the Institute’s efforts to be a testbed for research and policy innovations.
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.