Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.

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.

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

But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.

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

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

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.

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

Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.