Gamifying medical data labeling to advance AI
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.
MIT alumnus’ platform taps the wisdom of crowds to label medical data for AI companies.
Students, faculty, and staff have responded quickly in the wake of the disaster.
A new study suggests mobile data collected while traveling over bridges could help evaluate their integrity.
Measuring traffic properties requires vast amounts of data. Meshkat Botshekan, a PhD student working with the MIT CSHub, is discovering a more efficient and affordable physics-inspired alternative.
Collective intelligence methodology identifies key findings to accelerate the pace of innovation and build health resilience.
MIT researchers are using smartphones to gather roadway information previously inaccessible to many departments of transportation.
Online platform harnesses collective intelligence to accelerate recovery from Covid-19 and prepare for future disease outbreaks.
The 21-digit solution to the decades-old problem suggests many more solutions exist.
Three most promising PPE solutions selected by expert judges on MIT Pandemic Response CoLab.
Results might provide a convenient screening tool for people who may not suspect they are infected.
Philip Kuai MNG '07 leads first fully virtual investor roadshow to bring his company, Dada Group, to an initial public offering in New York.
Children Helping Science, co-led by Professor Laura Schulz, brings research to families, and families to research.
Discovery made through the Disk Detective project could help the search for new planets.
Despite physical isolation, MIT mathematicians build one-stop portal to online talks around the world.
Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.