Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.

Study shows moving can help foster a more robust social network, by strengthening “long ties” with others.

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles.

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.

Mobility-related data show the pandemic has had a lasting effect, limiting the breadth of places people visit in cities.

Careful planning of charging station placement could lessen or eliminate the need for new power plants, a new study shows.

New modeling tool enables rapid design of effective and equitable policy combinations.

A new measure can help scientists decide which estimation method to use when modeling a particular data problem.