This year's fellows will work across research areas including telemonitoring, human-computer interactions, operations research,  AI-mediated socialization, and chemical transformations.

Researchers develop a scalable fabrication technique to produce ultrathin, lightweight solar cells that can be seamlessly added to any surface.

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

Professor Koroush Shirvan, who recently won a prestigious award from the American Nuclear Society, pursues avenues to lower the costs of nuclear energy.

New research highlights the problem of algorithmically embodied emissions.

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.

A new study shows how small-scale actions could improve air quality and health outcomes.

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