Research
Labs
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Areas
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Computation lies at the heart of understanding all systems. CSAIL studies this vast, compelling field to unlock the secrets of intelligence, extend the power of machines, and explore human/machine interactions.
CSAIL web site -
The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego in partnership with MIT; San Diego-based National University; the University of Pennsylvania; the University of Texas at Austin; and Yale University. TILOS is also partially supported by Intel Corporation. -
Eight faculty members have been granted tenure in five departments across the MIT School of Engineering. -
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration. -
After meeting in an Advanced Study Program at MIT, three Norwegian students began working together to transport biological samples using autonomous vehicles. -
EECS professor Jonathan Ragan-Kelley received ACM SIGGRAPH'S 2021 Significant New Researcher Award, for his “outstanding contributions to systems and compilers in rendering and computational photography,” according to ACM’s press release. -
With just 50 lines of code, the program spots and fixes likely errors. -
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings. -
“Programmable matter” technique could enable product designers to churn out prototypes with ease. -
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more. -
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data. -
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 EECS has awarded three Faculty Research Innovation Fellowships (FRIFs) to Professor Aleksander Madry, Associate Professor William Oliver, and Professor Ryan Williams. -
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). -
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios. -
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation. -
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. -
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. -
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material. -
The advance could boost recommendation algorithms and internet search. -
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. -
Analysis reveals genetic control elements that are linked to hundreds of human traits.
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