Empowering African farmers with data
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
Research from the Institute for Data, Systems, and Society aims to help African farmers increase their production and profits with better prediction.
Signals help neural network identify objects by touch; system could aid robotics and prosthetics design.
Working group studies options for creating a new set of faculty hires for MIT’s new college.
Interdisciplinary teams propose creative policy solutions addressing societal challenges at the Institute for Data, Systems, and Society student-organized event.
New tools can find patterns in vast online data to track and identify users on illicit forums.
Third annual MIT Statistics and Data Science conference gathers a growing interdisciplinary community of researchers and practitioners.
In some cases, radio frequency signals may be more useful for caregivers than cameras or other data-collection methods.
MIT/MGH's image-based deep learning model can predict breast cancer up to five years in advance.
Algorithm stitches multiple datasets into a single “panorama,” which could provide new insights for medical and biological studies.
Seven finalist teams pitched their business ideas at the Rabobank-MIT Food and Agribusiness Innovation Prize competition.
Data-sampling method makes “sketches” of unwieldy biological datasets while still capturing the full diversity of cell types.
Analysis of genes altered by the disease could provide targets for new treatments.
Projects will develop new AI technologies that detect and prevent diseases.
In STS.047 (Quantifying People), MIT students explore the history of science from the 17th century to the present, through the eyes of statisticians and sociologists.
In planning for the MIT Schwarzman College of Computing, working group is exploring needs across all parts of the Institute.