Computer Science and Artificial Intelligence Laboratory (CSAIL)
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
MIT computer scientists and mathematicians offer an introductory computing and career-readiness program for incarcerated women in New England.
Researchers have created a method to help workers collaborate with artificial intelligence systems.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.