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 programming language delivers fourfold speedups on problems common in the age of big data.
  • Assistant professor of electrical engineering and computer science discusses his work focusing on learning graphical models from data.
  • 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.


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