Engineer, explain thyself
A new online tool helps graduate students communicate — in their own languages.
Department
Electrical Engineering and Computer Science
Students' web app seeks to simplify, modernize voter registration
A solution for millennials by millennials, votemate takes the frustration out of registering to vote.
Automated screening for childhood communication disorders
Computer system could help identify subtle speech, language disorders in time for early intervention.
Cache management improved once again
New version of breakthrough memory management scheme better accommodates commercial chips.
Detecting emotions with wireless signals
Measuring your heartbeat and breath, CSAIL device can tell if you’re excited, happy, angry, or sad.
One year on, Institute for Data, Systems, and Society looks ahead
Event and new IDSS projects will provide insights into some of society's most pressing data challenges.
Project Sandcastle
Five MIT engineering students take their startups to San Francisco for a summer of innovation.
An autonomous fleet for Amsterdam
MIT, AMS Institute will collaborate to solve complex urban problems for Amsterdam with the development of autonomous "roboats."
Sixteen MIT grad students named Siebel Scholars for 2017
MIT graduate students from bioengineering, business, computer science, and energy fields are honored.
Faster parallel computing
New programming language delivers fourfold speedups on problems common in the age of big data.
Nancy Lynch named associate head of Department of Electrical Engineering and Computer Science
Expert in distributed computing to join department leadership.
Tiny gold grids yielding secrets
Summer Scholar Justin Cheng explores process in Berggren group for making ordered metal nanostructures that display interesting new properties.
New applications for ultracapacitors
Startup’s energy-storage devices find uses in drilling operations, aerospace applications, electric vehicles.
QS ranks MIT the world’s top university for 2016-17
Ranked No. 1 for the fifth straight year, the Institute also places first in 12 of 42 disciplines.
How machine learning can help with voice disorders
By detecting signs of vocal misuse, system from CSAIL and Mass General could eventually be used to help diagnose voice disorders.