A comprehensive map of how Alzheimer’s affects the brain
Analysis of genes altered by the disease could provide targets for new treatments.
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.
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Among the program's offerings, the Digital Humanities Lab applies computational tools to humanistic research — and builds a community fluent in both languages.
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Counting search queries isn’t easy, but MIT CSAIL’s new LearnedSketch system for “frequency-estimation” aims to help.
New architecture promises to cut in half the energy and physical space required to store and manage user data.
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
Technique could improve machine-learning tasks in protein design, drug testing, and other applications.
MIT Institute for Data, Systems, and Society co-hosted WiDS Cambridge, a daylong conference connecting data scientists across academia and industry.
Digitally mapping informal transportation networks in developing cities can help them reach the United Nations' Sustainable Development Goals.
The GOSSIS algorithm was developed using data from hospitals around the world to spur greater multi-center collaboration and improved benchmarking.
MIT’s sports-analytics showcase features open talk on some large topics in pro and amateur athletics, from player satisfaction to data equity.