Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.

Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.

The role-playing game “On the Plane” simulates xenophobia to foster greater understanding and reflection via virtual experiences.

MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.

Researchers experimentally evaluated the impact biased AI recommendations have on emergency decisions, where participants responded to mental health crises by calling for either medical or police assistance.

New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.

A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.

This computational tool can generate an optimal design for a complex fluidic device such as a combustion engine or a hydraulic pump.

Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.

New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.