MIT Schwarzman College of Computing
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
A new machine-learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
Thriving Stars: An initiative to improve gender representation in electrical engineering and computer science
MIT EECS unveils a new effort to encourage and support women on their journey to — and through — graduate study in computing and information technologies.
A deep model was trained on historical crash data, road maps, satellite imagery, and GPS to enable high-resolution crash maps that could lead to safer roads.
Secure AI Labs, founded by alumna Anne Kim and MIT Professor Manolis Kellis, anonymizes data for AI researchers.
Awards support high-risk, high-reward biomedical and behavioral research.
Researchers hope more user-friendly machine-learning systems will enable nonexperts to analyze big data — but can such systems ever be completely autonomous?
Humans find AI to be a frustrating teammate when playing a cooperative game together, posing challenges for "teaming intelligence," study shows.
MIT App Inventor’s “Appathon” joins programmers from around the world to imagine a better future and start building it one app at a time.
The effort raised more than $6 billion to spark innovation on global challenges.