Research
Labs
Areas
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Giving machine-learning systems “partial credit” during training improves image classification. -
System learns to play text-based computer game using only linguistic information. -
William T. Freeman has been appointed the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science -
System can convert MRI scans into 3D-printed, physical models in a few hours. -
Seeking to reduce traffic casualties, center will focus on robotics and artificial intelligence systems. -
Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden. -
Research from MIT and Harvard shows how to exploit and protect MOOC certification. -
Researchers mount successful attacks against popular anonymity network — and show how to prevent them. -
Robots’ maps of their environments can make existing object-recognition algorithms more accurate. -
New model predicts wind speeds more accurately with three months of data than others do with 12. -
MIT professors’ choice-modeling software predicts customer preferences for retailers. -
System fixes bugs by importing functionality from other programs — without access to source code. -
Video-processing algorithm developed by the research groups of professors William Freeman and Frédo Durand magnifies motions indiscernible to the naked eye, even in moving objects. -
At the recent International Conference on Robotics and Automation, MIT researchers led by Daniela Rus, the Andrew and Erna Viterbi Professor in MIT’s Department of Electrical Engineering and Computer Science, presented a printable origami robot that folds itself up from a flat sheet of plastic when heated and measures about a centimeter from front to back. Read more. -
DARPA Robotics Challenge MIT Team leader Russ Tedrake reports on the real win in the team's sixth placement in last week's competition. The team not only won the overall best-paper award at the 2014 International Conference on Humanoid Robots, but they also accomplished research that will have huge near and longterm payoffs. Read more. -
The MIT DARPA Robotics Challenge Team led by Professor Rus Tedrake reached new heights in the June 5-6 international DARPA Robotics Challenge in Pomona California, as they nimbly programmed their Atlas robot to perform a wide range of tasks in one hour. The goal of the event was to develop mobile robots to perform useful tasks in disaster-relief situations — in response to the 2011 Fukushima nuclear disaster. Read more. -
EECS graduate students Andrew Spielberg and Stuart Baker, and postdoc Mehmet Dogar with EECS Professor and Director of the Computer Science and Artificial Intelligence Lab (CSAIL) Daniela Rus have developed a new algorithm that significantly reduces the time it takes for several robots to plan and execute a task. Read more. -
A computer vision enabled technology developed by a team of EECS faculty Bill Freeman and Frédo Durand and their students is enabling a new way to identify structural defects in objects. The group will report this latest work at the Conference on Computer Vision and Pattern Recognition in June. Read more. -
EECS doctoral student Carrie Cai has devised a Google Chat extension to help users make the most of idle wait time between texts and instant-message replies. Termed WaitChatter, the app allows users to learn another language vocabulary while they wait and the app is adaptable to other IM platforms including Snapchat, Facebook, Skype and WhatsApp. Read more. -
EECS Department Head Anantha Chandrakasan and Associate Heads Silvio Micali and David Perreault have announced the appointments of Tamara Broderick as the ITT Career Development Assistant Professor and of Stefanie Jegelka as the X-Consortium Career Development Assistant Professor. Both Broderick and Jegelka joined the MIT EECS Department in January, 2015. Read more. -
Members of the Computer Science and Artificial Intelligence Lab's (CSAIL's) Computer Graphics Group including Professors Frédo Durand and William Freeman and EECS graduate student YiChang Shih have developed an algorithm that removes reflections from photos taken through windows. Read more. -
While they developed the most accurate scene recognition system, Profs. Antonio Torralba and Aude Oliva have shown how object recognition along with scene recognition could be mutually reinforcing. They will present their work at the International Conference on Learning Representations... Read more. -
Is it still an either-or choice to receive (or not) all those mailing list emails? EECS graduate student Amy Zhang working with EECS Prof. David Karger in the Computer Science and Artificial Intelligence Lab's Haystack Group, has developed a new system that uses techniques from social media to give the recipient more control over his/her inbox. Read more. -
EECS faculty members Fredo Durand and William Freeman have teamed with Oral Buyukozturk, a professor of civil and environmental engineering at MIT, to develop an alternative technique for detecting tiny vibrations in large structures using high-speed video and computer vision techniques for magnifying motion. Read more. -
Students and graduates of Prof. Rob Miller's group, the User Interface Design Group have designed a system for visualizing and exploring thousands of solutions to a programming problem, ultimately enhancing online teaching and learning. Members of the group including first author and EECS graduate student Elena Glassman will present their work in April at the Association for Computing Machinery's Conference on Human Factors in Computing Systems. Read more.
