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 -
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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. -
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. -
CSAIL's “LaserFactory” system automates the full process for making functional devices in one system. -
A new system devises hardware architectures to hasten robots’ response time. -
MIT Task Force on the Work of the Future releases research brief "Artificial Intelligence and the Future of Work." -
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications. -
MIT mechanical engineers, working alongside a trio of EECS graduate students from Professor Daniela Rus’s group in CSAIL, have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses. -
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process. -
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning. -
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.
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