In the Media

Autonomous vehicles share sidewalk space with pedestrians in six-day trial in Singaporean public garden.

Researchers mount successful attacks against popular anonymity network — and show how to prevent them.

New model predicts wind speeds more accurately with three months of data than others do with 12.

System fixes bugs by importing functionality from other programs — without access to source code.

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.

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.

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.

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.

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.

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.

Here’s one way to get kids excited about programming: a "robot garden" with dozens of fast-changing LED lights and more than 100 origami robots that can crawl, swim, and blossom like flowers. Read more.

Mapping the human genome, accomplished a decade ago, was heralded for laying the foundation for understanding genetic variation and links to a wide range of diseases. But genes can be switched on and off by many chemical modifications, aka "epigenetic marks." Now Manolis Kellis, EECS professor and member of the Computer Science and Artificial Intelligence Lab and the Broad Institute has led an NIH group that has created a similar map of the human epigenome. This work will lead to a global map towards understanding fundamental developmental and disease processes in humans. Read more.