Research
Labs
Areas
Computer Science (Artificial Intelligence)
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We study how to make computers see, hear, understand, plan, and act in the world.
Computer Science (AI) -
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. -
The rigorous selection process for this prestigious fellowship took into account the two students’ outstanding track record of scientific achievement and inquiry, as well as their contributions to the STEM community. -
Selective global honor supports early-career scientists and engineers in taking on new pursuits. -
Peter Howard SM ’84 is the CEO of Realtime Robotics, a startup transforming autonomous robot motion planning to enable seamless, affordable human-robot collaboration. -
With just 50 lines of code, the program spots and fixes likely errors. -
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort. -
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more. -
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 3rd year PhD student is conducting research in image synthesis, specifically the use of AI models to generate images. -
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. -
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. -
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom. -
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. -
Fabricaide, developed at MIT CSAIL, provides live design feedback to help users reduce leftover material. -
The advance could boost recommendation algorithms and internet search. -
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. -
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
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