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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CSAIL’s machine-learning system enables smoother streaming that can better adapt to different network conditions. -
Software developed by EECS and CSAIL researchers lets designers exploit the extremely high resolution of 3-D printers. -
EECS offers events to help unite the department's far-flung postdocs for peer networking and training. -
CSAIL’s InstantCAD allows manufacturers to simulate, optimize CAD designs in real-time. -
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars. -
Researchers at MIT and other institutions have devised a way to boost the quality of low-resolution patient MRI scans so they can be used for large-scale studies. -
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Hassanieh, who was a grad student in CSAIL Professor Dina Katabi’s lab, received the award for his Sparse Fourier Transform (SFT) dissertation. -
Long-time EECS professor and CSAIL principal investigator is named the 2017 winner of the W. Wallace McDowell Award. -
The new professorship was established by veteran software entrepreneur Thomas Siebel, who also established the Siebel Scholars program at MIT. -
Balakrishnan and Rus join nine other MIT professors admitted to the prestigious honor society. -
Robotics Industry Association recognizes professor's leadership as a researcher, innovator, and educator. -
School of Engineering professor and CSAIL researcher honored for inventing the web and developing the protocols that spurred its global use. -
The report was published by the Internet Policy Research Initiative at the Computer Science and Artificial Intelligence Laboratory (CSAIL), in conjunction with MIT’s Center for International Studies (CIS). It warns of hacking risks to electric grid, oil pipelines, and other critical infrastructure. -
EECS and IMES award chairs to three new faculty members. -
Mohammad Alizadeh, Caroline Uhler, and Virginia Williams were recognized for “outstanding promise” in their fields. -
Computer scientist Regina Barzilay empowers cancer treatment with machine learning. -
Dina Katabi, the Andrew (1956) and Erna Viterbi Professor in the Department of EECS and a member of CSAIL, was recognized for contributions to network congestion control and to wireless communications. -
Professors Thomas Heldt, Aleksander Madry, Daniel Sanchez, and Vivienne Sze are promoted to the rank of Associate Professor without Tenure, effective July 1, 2017. -
Two EECS faculty members were honored in the Forbes 30 Under 30 in Science 2017 list that showcases America’s most important young scientists, entrepreneurs, thinkers, and leaders. -
Association for Computer Machinery cites Erik Demaine, Fredo Durand, William Freeman, and Daniel Jackson for having "provided key knowledge" to computing. -
System correlates recorded speech with images, could lead to fully automated speech recognition. -
CSAIL system lets users design and fabricate drones with a wide range of shapes and structures. -
Machine-learning system spontaneously reproduces aspects of human neurology.
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