CSAIL's new initiative, led by Daniel Weitzner and Srini Devadas, will focus on topics such as database systems, applied cryptography, AI and machine learning, and human-computer interaction.

CSAIL researchers aim to reduce the amount of wrong or out-of-date information online and also create deep learning models that dynamically adjust to recent changes. 

Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.

A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.

By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.

Improper adherence to doctors’ orders is commonplace, accounting for thousands of deaths and billions of dollars in medical costs annually. MIT researchers have developed a system to reduce those numbers for some types of medications.

An international team of scholars has read an unopened letter from early modern Europe — without breaking its seal or damaging it in any way — using an automated computational flattening algorithm.