In the Media

Developed at Computer Science and Artificial Intelligence Laboratory, “MoVR” system allows VR headsets to communicate without a cord.

New design should enable much more flexible traffic management, without sacrificing speed.

MacArthur Fellow Dina Katabi, SM ’98, PhD ’03, exploits physical properties of radio waves to make computation more efficient.

A computer vision enabled technology developed by a team of EECS faculty Bill Freeman and Frédo Durand and their students is enabling a new way to identify structural defects in objects. The group will report this latest work at the Conference on Computer Vision and Pattern Recognition in June. Read more.

This week, at the Institute of Electrical and Electronics Engineers’ (IEEE's) International Solid-State Circuits Conference (ISSCC), the group of Anantha Chandrakasan, EECS Department Head and the Joseph F. and Nancy P. Keithley Professor in Electrical Engineering at MIT, will present a new transmitter design that reduces power leakage when transmitters are idle — greatly extending battery life and ultimately enabling the potential for the transmission of data needed for the "Internet of things". Read more.

Vivienne Sze, core member of the Microsystems Technology Laboratories (MTL), principal investigator in the Research Laboratory of Electronics (RLE) and the Emanuel E. Landsman (1958) Career Development Professor in the Electrical Engineering and Computer Science Department (EECS), has received a 2014 Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA). Read more.

Getting to the source of data-visualization aberrations is a big problem in big data. EECS doctoral student Eugene Wu with Sam Madden, professor of computer science and engineering in the Computer Science and Artificial Intelligence Lab (CSAIL) have released a new tool, called DBWipes, that pinpoints aberrations and determines which data sources to investigate. Read more.

EECS faculty members Dina Katabi, director of the Wireless Center at MIT's Computer Science and Artificial Intelligence Lab (CSAIL) and CSAIL colleague Robert Miller with EECS graduate students Fadel Adib and Zach Kabalec have collaborated to develop wireless technology to track a person's vital signals such as breathing (heart rate) and more from another room with no need for intrusive wearable technologies. Read more.

Former associate department head and currently acting director of the Engineering Systems Division Munther Dahleh, professor of electrical engineering and computer science, has been appointed the interim director of the Laboratory for Information and Decision Systems (LIDS), effective July 1. Dahleh is also director-designate of a new entity at MIT that will focus on complex and socio-technical systems, information and decision systems, and statistics.

Researchers at MIT’s Microsystems Technology Laboratory (MTL) including Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering, recent EECS PhD graduate Marcus Yip, EECS graduate student Rui Jin and research scientist Nathan Ickes, together with physicians from Harvard Medical School and the Massachusetts Eye and Ear Infirmary (MEEI), have developed a new, low-power signal-processing chip that could lead to a cochlear implant that requires no external hardware. The implant would be wirelessly recharged -- taking just two minutes -- and would run for about eight hours on each charge. Read more.

Prof. Dina Katabi, principal investigator in the Computer Science and Artificial Intelligence Lab at MIT working with members of her research group has developed a 3-D motion tracking system that has potential for gaming and far more. Read more in the CSAIL Dec. 12, 2013 article

Muriel Médard, professor of electrical engineering in the MIT EECS Department and principal investigator in the Research Laboratory of Electronics (RLE) and EECS graduate student Falvio du Pin Calmon have teamed with researchers at the National University of Ireland to demonstrate that the security of many keyless-entry systems may not be as secure as previously thought. Médard and the NUI team will present their work at the Asilomar Conference on Signals and Systems in September.