Research
Labs
Areas
Computer Science (Artificial Intelligence)
-
We study how to make computers see, hear, understand, plan, and act in the world.
Computer Science (AI) -
-
-
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.
-
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. -
Depth sensor built from off-the-shelf parts filters out ambient infrared light. -
Collaboration has created a pioneering new graduate university in Russia, says project director. -
Senior YQ Lu finds new ways to combine math and paper art, shares his passion for both.
- 1 of 8
- ››
