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July 12, 2021
The award honors “those exemplary professionals who have significantly and consistently supported the personal and professional development of their students and colleagues, have enduringly engaged minds, elevated spirits and stimulated best efforts.” -
June 25, 2021
MIT researchers demonstrate a way to sharply reduce errors in two-qubit gates, a significant advance toward fully realizing quantum computation. -
June 23, 2021
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity. -
June 2, 2021
Visualization software and hardware could offer new possibilities for coaching and sports training. -
May 7, 2021
MIT researchers develop compact on-chip device for detecting electric-field waveforms with attosecond time resolution. -
May 5, 2021
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". -
April 29, 2021
Associate professor Vivienne Sze's research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications. -
April 23, 2021
The Department of Electrical Engineering and Computer Science is launching a novel postdoctoral fellowship program, funded by Professor of Electrical Engineering Jae Lim. -
April 14, 2021
The Department of EECS has awarded three Faculty Research Innovation Fellowships (FRIFs) to Professor Aleksander Madry, Associate Professor William Oliver, and Professor Ryan Williams. -
February 23, 2021
Inspired by decades-old MIT research, the new technology could boost quantum computers and other superconducting electronics. -
January 19, 2021
Electrical engineer William Oliver develops technology to enable reliable quantum computing at scale. -
January 4, 2021
The advance could cut production costs and reduce the size of microelectronics for sensing and communication. -
January 4, 2021
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines. -
January 4, 2021
The design, which uses entangled atoms, could help scientists detect dark matter and study gravity’s effect on time. -
December 21, 2020
Three MIT professors, including EECS Department Head Asu Ozdaglar, faculty head of EE Joel Voldman, and a principal staff member from Lincoln Laboratory, are among the 2021 class of Fellows. -
December 7, 2020
Prof. Fujimoto, the Elihu Thomson Professor of Electrical Engineering, will be awarded the Visionary Prize for his research, which focuses upon the areas of biomedical imaging, optical coherence tomography (OCT), advanced laser technologies and applications. -
November 30, 2020
Danielle Grey-Stewart and Ghadah Alshalan will begin postgraduate studies at Oxford University next fall. -
November 3, 2020
The instrument could bring powerful sensing and imaging capabilities out of the lab and into hospitals, airports, or other settings. -
October 8, 2020
New technique provides a means of interconnection between processors, opening the way to a complete quantum computing platform. -
September 21, 2020
Eight 2020 graduate fellows pursue diverse paths. -
September 16, 2020
July saw two new chair appointments within the department’s leadership. Please join us in congratulating Asu Ozdaglar and Joel Voldman on their accomplishments, and learn more about the new chairs here.MTL, RLE, InfoSys, ApplPhysDev, Biomed, Systems, Theory, bio-EECS, Connections, Multicore -
September 4, 2020
Top row, L to R: Oliver, Corrigan-Gibbs, Chen. Bottom row, L to R: Yan, Ragan-Kelley 2020 has seen the addition of many new faculty members, including five recent hires within EECS. Learn -
September 3, 2020
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation. -
September 3, 2020
Building quantum computers underground or designing radiation-proof qubits may be needed, researchers find. -
August 11, 2020
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
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