II - Computer Science (Artificial Intelligence)

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  • 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.

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