Research Laboratory of Electronics (RLE)
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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. -
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MIT researchers develop compact on-chip device for detecting electric-field waveforms with attosecond time resolution.
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The honor recognizes “extraordinary people who help solve the world’s most urgent challenges, create meaning through art, and contribute to the common good from every field, discipline, and profession".
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Associate professor Vivienne Sze's research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
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The Department of Electrical Engineering and Computer Science is launching a novel postdoctoral fellowship program, funded by Professor of Electrical Engineering Jae Lim.
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