Research
Labs
Areas
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The Department of EECS has awarded three Faculty Research Innovation Fellowships (FRIFs) to Professor Aleksander Madry, Associate Professor William Oliver, and Professor Ryan Williams.
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Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.
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Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes.
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The 3rd year PhD student is conducting research in image synthesis, specifically the use of AI models to generate images.
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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).
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EECS Associate Professor Thomas Heldt finds inspiration where fundamental physical principles intersect with human health.
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A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
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Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
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Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
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History unfolds as an interdisciplinary research team uses computational tools to examine the contents of “locked” letters.
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Student committee delivers interactive conference on microsystems and nanoscience.
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With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
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New type of control system may broaden robots’ range of tasks and allow safer interactions with people.
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Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic.
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MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
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Inspired by decades-old MIT research, the new technology could boost quantum computers and other superconducting electronics.
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Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material.
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The advance could boost recommendation algorithms and internet search.
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The award celebrates Professor Goldwasser’s groundbreaking work in cryptography, which has enabled secure communication and verification over the internet and collaborative computation on private data.
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A new algorithm offers insights into consumer spending by identifying what someone purchased from only the bill total.
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