II - Computer Science (Artificial Intelligence)

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  • In a paper appearing in a forthcoming issue of the International Journal of Robotics Research, Professors and member of the Learning and Intelligent Systems Group Leslie Kaelbling and Tomas Lozano Perez and EECS graduate student Lawson Wong show that a system using an off-the-shelf algorithm to aggregate different perspectives can recognize four times as many objects as one that uses a single perspective, while reducing the number of misidentifications. Read more.
  • A record number of Fellow selections from any single institution marks the election by the Association of Computing Machinery (ACM) of five CSAIL researchers and members of the MIT Electrical Engineering and Computer Science Department to ACM 2014 Fellow. The ACM has cited Srini Devadas, Eric Grimson, Robert Morris, Ronitt Rubinfeld and Daniela Rus for "providing key knowledge" to computing.
  • Vivienne Sze, core member of the Microsystems Technology Laboratories (MTL), principal investigator in the Research Laboratory of Electronics (RLE) and the Emanuel E. Landsman (1958) Career Development Professor in the Electrical Engineering and Computer Science Department (EECS), has received a 2014 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA). Read more.
  • Rodney Brooks, Founder, Chairman, CTO of Rethink Robotics and Panasonic Professor of Robotics (emeritus) at MIT, has spent his life creating intelligent machines that do our bidding. Read more about him and why he fears there will not be enough workforce robots in the future.
  • Using Bayesian regression, Devavrat Shah, member of the Laboratory for Information and Decision Systems and the Computer Science and Artificial Intelligence Lab (LIDS) and recent graduate student Kang Zhang have identified patterns from five months of price data from all major Bitcoin exhanges — enabling them to predict the price of Bitcoin — thereby allowing them to double their investment over a 50 day period. Read more.
  • A team led by Computer Science and Artificial Intelligence Lab (CSAIL) researchers including EECS associate professor Wojciech Matusik and project lead and doctoral candidate Adriana Schulz has developed “Fab By Example,” the first data-driven method to help people design products, with a growing database of templates that allow users to customize thousands of complex items — without the need to understand the mechanical engineering that might normally be expected. The team will be presenting its system at this month’s Siggraph graphics conference. Read more.
  • Researchers at MIT -- including EECS graduate student Abe Davis and EECS faculty members Fredo Durand and Bill Freeman, and members of the Computer Graphics Group in MIT's Computer Science and Artificial Intelligence Lab (CSAIL) have collaborated with colleagues at Microsoft and Adobe to develop an algorithm to reconstruct an audio signal produced by practically invisible vibrations of objects filmed in video and normally inaudible to human hearing. Read more.
  • Light is everything to good photography. Knowing this fact well, EECS professor Fredo Durand, also an experienced photographer, has begun to create a new system that uses drones (light-equipped autonomous robots) to create accurate lighting while communicating with the camera-mounted interface. Durand and several other researchers will report on their work at an upcoming international symposium in August.

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