I - Information Systems

  • Muriel Medard has collaborated with several colleagues to examine the use of two dominating information theories used in today's vast and growing transmission of data while both avoiding noise and demonstrating how to determine the capacities of networks. Medard, California Institute of Technology's Michelle Effros and the late Ralf Koetter of the University of Technology in Munich have addressed some of the toughest issues in a two part paper published recently in IEEE Transactions on Information Theory.
  • New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems.
  • Combining MRI and other data helps machine-learning systems predict effects of neurodegenerative disease.
  • System can convert MRI scans into 3D-printed, physical models in a few hours.
  • 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.
  • The members of Voltage, a new group in MIT’s Electrical Engineering and Computer Science Department, want to interest more freshmen and Course 6 students in the field of Electrical Engineering (EE). Sponsored by MIT IEEE/ACM, the group is working to build a cohesive network for students in both the EE degree program (6-1) as well as for students leaning to EE in the EECS degree program (6-2) — offering support and resources in academics, research and careers. Read more.
  • Munther Dahleh, the William A. Coolidge Professor in the Department of Electrical Engineering and Computer Science, will head a new Institute for Data, Systems, and Society (IDSS) to be launched on July 1. Offering a range of cross-disciplinary academic programs, including a new undergraduate minor in statistics, IDSS will be home to faculty from the Engineering Systems Division (ESD), the Laboratory for Information and Decision Systems(LIDS), and the current Sociotechnical Systems Research Center (SSRC). Read more.


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