A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.

The phrase ‘research data management’ might make your eyes glaze over, but it’s actually this behind-the-scenes work that allows for large-scale scientific discoveries and collaborations.

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.

Many of the amino acids that make up proteins are encoded by genetic material in more than one way. An information theorist explains how principles of nature may account for this variance.

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

Biobanks collect and store large amounts of data that researchers use to conduct a wide range of studies. Making sure participants understand what they’re getting into can help build trust in science.

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

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