Research
Labs
Areas
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Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data. -
MIT researchers develop compact on-chip device for detecting electric-field waveforms with attosecond time resolution. -
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". -
Design of miniature optical systems enables new applications of light. -
Boix-Adserà and Fallah, both PhD candidates in the LIDS group, were named Apple Scholars in AI/ML for 2021-22 -
MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research. -
Associate professor Vivienne Sze's research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications. -
The Department of Electrical Engineering and Computer Science is launching a novel postdoctoral fellowship program, funded by Professor of Electrical Engineering Jae Lim. -
The Department of EECS has awarded three Faculty Research Innovation Fellowships (FRIFs) to Professor Aleksander Madry, Associate Professor William Oliver, and Professor Ryan Williams. -
Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes. -
Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness. -
The 3rd year PhD student is conducting research in image synthesis, specifically the use of AI models to generate images. -
Mustafa Doğa Doğan is a 3rd year PhD student working with Prof. Stefanie Mueller’s Human-Computer Interaction (HCI) Engineering Group at the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL). -
EECS Associate Professor Thomas Heldt finds inspiration where fundamental physical principles intersect with human health. -
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation. -
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios. -
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care. -
History unfolds as an interdisciplinary research team uses computational tools to examine the contents of “locked” letters. -
Student committee delivers interactive conference on microsystems and nanoscience. -
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom. -
New type of control system may broaden robots’ range of tasks and allow safer interactions with people. -
Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic. -
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis. -
Inspired by decades-old MIT research, the new technology could boost quantum computers and other superconducting electronics. -
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.
