Computer Science and Artificial Intelligence Laboratory (CSAIL)

  • 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.
  • Our susceptibility to disease depends both on the genes that we inherit from our parents and on our lifetime experiences. These two components — nature and nurture — seem to affect very different processes in the context of Alzheimer's disease, according to a new study published today in the journal Nature. Read more.
  • In the quest for improving the speed and efficiency of multicore chips, EECS Assistant Professor Daniel Sanchez and graduate student Nathan Beckmann designed a system that moves data around multicore chips' memory banks — improving execution by 18 percent on average while increasing energy efficiency as well. They won an award for this work in 2013. Now.. Read more.
  • Professor Rob Miller and members of the User Interface Design Group at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised a system that uses crowd-sourcing to annotate instructional videos for improved learning. Read more.
  • Five members of the Electrical Engineering and Computer Science Department of a total of eight MIT faculty have been elected to the National Academy of Engineering including Hari Balakrishnan, Sangeeta Bhatia, Anantha Chandrakasan, L. Rafael Reif and Daniela Rus. Read more.
  • In building multicore chips, a common inefficiency arises with the addition of more than eight cores. EECS professor Nir Shavit, principal investigator in the Computer Science and Artificial Intelligence Lab (CSAIL), a former student now at Microsoft Research and several EECS graduate students have analyzed data structures called priority codes and dodged logjams using skip code. Read more.
  • 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.


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