Wireless device captures sleep data without using cameras or body sensors; could aid patients with Parkinson’s disease, epilepsy, or bedsores.

By securely aggregating sensitive data from cyber-attacks, the SCRAM platform from MIT CSAIL can quantify an organization’s level of security and suggest what to prioritize.

The company Health at Scale uses machine learning to improve outcomes for individual patients.

Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.

Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.

A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.

Recent advances give theoretical insight into why deep learning networks are successful.

Unique survey of gene expression by cell type in humans and mice reveals several deficits affecting the most vulnerable neurons.

New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.

Robotic gripper with soft sensitive fingers developed at MIT CSAIL can handle cables with unprecedented dexterity.