Balakrishnan, Madden use cars as traffic sensors

EECS/CSAIL Professors Hari Balakrishnan and Samuel Madden have been developing a way for cars to be used as ubiquitous, highly reliable mobile sensors. As part of this effort, members of the CarTel team have developed a new algorithm to optimize the dissemination of data through a network of cars with wireless connections. This is already of interest to Ford and Microsoft as these two companies jointly develop future versions of Sync, an in-car communications and entertainment system.

Chan & team develop speedier Internet using pure optical data transmission

EECS faculty member Vincent Chan, the Joan and Irwin Jacobs Professor of Electrical Engineering and Computer Science, has demonstrated with his research team including EECS faculty member Muriel Médard, a new way of organizing optical networks that, in most cases, would eliminate the inefficient switching from optical data flow to electrical signals and back. The gains could result in an Internet from 100 to 1000 times faster and more efficient.

Linked Data, a Semantic Web tool, to be taught by Berners-Lee & team FT2010

EECS faculty member Tim Berners-Lee and a group of Boston web gurus will be leading a new graduate H-level class, 6.898, titled Linked Data Ventures: New Web Technologies, Standards, and Business Models. Co-instructors include CSAIL's K. Krasnow Waterman and Lalana Kagal, plus IT entrepreneurship experts Reed Sturtevant and Katie Rae.


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