Fleets of drones could aid searches for lost hikers
System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
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System allows drones to cooperatively explore terrain under thick forest canopies where GPS signals are unreliable.
Computer model could improve human-machine interaction, provide insight into how children learn language.
New system may open up the world’s roughly 7,000 spoken languages to computer-based translation.
Fibers containing systems for mixing, separating, and testing fluids may open up new possibilities for medical screening.
Citizens and data scientists produce actionable recommendations for high-priority Boston-area issues at Institute for Data, Systems, and Society student-run event.
Kaley Brauer, Sarah Greer, William Moses, and Paul Zhang will receive DoE support to fuel research that tackles problems of national importance.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
New system breaks up cache memory more efficiently to better protect computer systems against timing attacks.
Neural network that securely finds potential drugs could encourage large-scale pooling of sensitive data.
System that automatically identifies people moving around indoors could enable self-adjusting homes.
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
Researchers from across MIT showcase J-WAFS-funded projects tackling critical water and food systems challenges from solutions-oriented perspectives.
Professor Yoel Fink is helping MIT lead the way in transforming the fabric materials in our lives.
Collaboration extends opportunities for faculty seed funds, internship opportunities, and a Global Teaching Labs program through 2020.
Farnaz Niroui is exploring nanocale research from Mildred Dresselhaus’ former office.