Helping robots handle uncertainty
Algorithm for planning multirobot collaborations makes complex models practical.
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Helping robots put it all together
New algorithm lets autonomous robots divvy up assembly tasks on the fly.
SuperUROP class of 2015 graduates with high accomplishment and promise
Chancellor Cynthia Barnhart thanks SuperUROP students for their research and innovation contributions; praises program's quintessential "MIT-ness."
Gauging materials’ physical properties from video
“Visual microphone” technology could lead to noninvasive identification of objects’ structural defects.
Crowdsourcing climate strategy
MIT Climate CoLab offers individuals a chance to propose and test their global plan to confront climate change.
Empowerment through mobile technology and co-design
MIT students improve the quality of life, safety, and independence of The Boston Home residents with InstaAid mobile application.
Learn a language while you text
Graduate student's “WaitChatter” app teaches vocabulary during moments in between text and instant-message replies.
May 19 webinar to discuss U.S. carbon price, opportunities for innovation
Online discussion featuring George Shultz, Phil Sharp, and Bob Inglis, will focus on prominent issues relating to carbon pricing in the United States.
Object recognition for free
System designed to label visual scenes according to type turns out to detect particular objects, too.
Start6 students expand innovation horizons while making connections in Silicon Valley
San Francisco and Silicon Valley startups, MIT alumni, and venture capitalists complement and enhance the Start6 learning experience.
One way to reduce email stress: Re-invent the mailing list
New CSAIL system lets users customize the mailing-list experience by following and blocking users and “upvoting” messages.
New MIT report details benefits of investment in basic research
Authors highlight 15 research opportunities that could help boost the U.S. economy, benefit society.
How a computer can help your doctor better diagnose cancer
Model from MIT's Computer Science and Artificial Intelligence Laboratory aims to automatically distinguish lymphoma subtypes.