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) -
Augmented reality (AR) and virtual reality (VR) companies have been working for years on developing systems that can incorporate real-life objects into their digitized worlds. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Lab has developed a smart glove that can detect your hand pose, as well as distinguish between more than 30 different household objects. -
MIT system cuts the energy required for training and running neural networks. -
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering. -
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic. -
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos. -
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust. -
A new joint major offered by EECS and the Department of Brain and Cognitive Sciences combines human cognition, neuroscience, and computer science. -
The MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs and save energy. -
The EECS faculty member was recognized for designing technology that lets powerful artificial intelligence programs run more efficiently on low-power hardware. -
The EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field. -
Professors Barzilay, Jaakkola, Kellis, and Szolovits are among 100 leaders recognized by a top technology think tank.
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The EECS faculty member spoke during a recent MIT symposium exploring methods for making artificial intelligence systems more reliable, secure, and transparent. -
The headquarters would replace Building 44, forming an “entrance to computing” near the intersection of Vassar and Main streets. -
A unique student-developed course to be offered during MIT’s Independent Activities Period provides a comprehensive exploration of deep learning. -
Senior Jessy Lin, a double major in EECS and philosophy, is programming for social good. -
The CSAIL director is being recognized for her pioneering work in robotic systems. -
EECS professors Barzilay and Jaakkola contribute to machine learning approach that could aid the design of industrial processes for drug manufacturing. -
CSAIL team’s system of quadcopters that fly and drive suggest another approach to developing flying cars. -
Machine-learning system spontaneously reproduces aspects of human neurology. -
Green, Ketterle, Nedivi, and Shrobe are among those recognized for their efforts toward advancing science. -
Industry leaders, computer scientists, and venture capitalists gather to discuss how smarter computers are remaking our world. -
“Information extraction” system helps turn plain text into data for statistical analysis. -
Self-driving scooter demonstrated at MIT complements autonomous golf carts and city cars. -
New training technique would reveal the basis for machine-learning systems’ decisions. -
Computer system could help identify subtle speech, language disorders in time for early intervention.
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