Research

A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Massachusetts General Hospital (MGH) has created a new deep learning model that can predict from a mammogram if a patient is likely to develop breast cancer in the future. They trained their model on mammograms and known outcomes from over 60,000 patients treated at MGH, and their model learned the subtle patterns in breast tissue that are precursors to malignancy.

Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have shown that neural networks contain subnetworks that are up to one-tenth the size yet capable of being trained to make equally accurate predictions — and sometimes can learn to do so even faster than the originals.

A new algorithm developed by MIT researchers takes cues from panoramic photography to merge massive, diverse cell datasets into a single source that can be used for medical and biological studies.

CSAIL team studies what email users want for better automating email — and proposes "YouPS" filtering tool.

While there’ve been several developments since then, the one-size-fits-all approach of apps like Gmail still leaves many users sifting, clicking, and separating until what can feel like the end of time.

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) decided to dig deeper into people’s specific needs through a three-part study and new open-source tool that lets users write, test, and hone simple Python scripts for controlling incoming emails.