A new ultrasound patch can measure how full your bladder is
The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.
The wearable device, designed to monitor bladder and kidney health, could be adapted for earlier diagnosis of cancers deep within the body.
Led by the Media Lab’s City Science research group, the CSN is a collaboration of institutions and researchers sharing a common goal of enabling more livable, equitable, and resilient communities.
Bridging Talents and Opportunities event serves as an outreach initiative for the Latin community.
The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.
A new coding app from the Lifelong Kindergarten group at the MIT Media Lab enables young people around the world to use mobile devices to express themselves creatively.
An interactive architectural installation combined textile arts and engineering on a desert landscape.
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their interactions with the chatbot.
Grants fund studies of honeybee tracking, glass building materials, and defining excellence in human movement.
The iconic sci-fi opera “VALIS,” first composed by Professor Tod Machover in 1987, reboots at MIT for a new generation.
Project shares ways to create community around design equity, ethics, and justice.
Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.
Center for International Studies Global Seed Funds program fosters collaboration and innovation.
The Jameel World Education Lab awards more than $900K in Education Innovation Grants to researchers across MIT.
The system could be used for battery-free underwater communication across kilometer-scale distances, to aid monitoring of climate and coastal change.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.