How the brain navigates cities
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
We seem to be wired to calculate not the shortest path but the “pointiest” one, facing us toward our destination as much as possible.
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.
A certain type of artificial intelligence agent can learn the cause-and-effect basis of a navigation task during training.
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.
Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.
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?
This robotic arm fuses data from a camera and antenna to locate and retrieve items, even if they are buried under a pile.
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.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.