Deep learning helps predict traffic crashes before they happen
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.
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.
New research on ancient Roman concrete inspires durable and sustainable modern constructions.
The award will support development-oriented research through a Center for Innovation and Technology at Universidad del Valle de Guatemala.
The LGO alumna is working toward transforming American manufacturing and elevating her company’s people and processes.
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?
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes.
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.
Co-chairs of the Ad Hoc Committee on Graduate Advising and Mentoring discuss the committee’s task of advising the Institute on policies and programs that support both students and faculty.
Current and former MIT researchers find novel tools can improve the sustainability of road networks on a limited budget.
MIT engineers devised a way to count elusive circulating tumor cells in mice, allowing them to study the dynamics of metastasis.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.