By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.

“Distance Unknown,” an exhibition by MIT’s Civic Data Design Lab, documents the often challenging journeys migrants undertake to gain economic opportunity and food security.

On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.

Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.

Algorithms designed to ensure multiple users share a network fairly can’t prevent some users from hogging all the bandwidth.

Methods that make a machine-learning model’s predictions more accurate overall can reduce accuracy for underrepresented subgroups. A new approach can help.

Researchers have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record.

Failing to consider neighborhood texture in hurricane-related wind loss models may undervalue stronger construction by over 80 percent.

Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.

A new system lets robots manipulate soft, deformable material into various shapes from visual inputs, which could one day enable better home assistants.