Dear Graduating Students,
Muriel Medard has collaborated with several colleagues to examine the use of two dominating information theories 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.
EECS researchers have developed a new chip that make it practical to run neural networks on many devices. Image: Chelsea Turner/MIT
Larry Hardesty | MIT News Office
Researchers trail a drone on a test flight outdoors. Photo: Jonathan How/MIT
Adam Conner-Simons | CSAIL
Suvrit Sra Image: Misha Sra
Suvrit Sra has joined EECS as an assistant professor and a core faculty member of Institute for Data, Systems, and Society (IDSS).
The appointment took effect in mid-January, said EECS department head Asu Ozdaglar.
New software identified five different families of microstructures, each defined by a shared “skeleton” (blue), that optimally traded off three mechanical properties. Images: Courtesy of the researchers
Professor and CSAIL Director Daniela Rus
EECS faculty member Daniela Rus has been selected to receive a Pioneer in Robotics and Automation Award from the IEEE Robotics and Automation Society (RAS).