A state-of-the-art facility replaces a nearly 80-year-old campus landmark to become the most advanced wind tunnel in U.S. academia.

Twenty winning projects will link industry member priorities with research groups across campus to develop scalable climate solutions.

A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.

Researchers create a mathematical framework to evaluate explanations of machine-learning models and quantify how well people understand them.

A new machine-learning system may someday help driverless cars predict the next moves of nearby drivers, cyclists, and pedestrians in real-time.

Faculty leaders highlight innovations that can close longstanding knowledge gaps and reimagine how the world responds to the climate crisis.

MIT scientists hope to deploy a fleet of drones to get a better sense of how much carbon the ocean is absorbing, and how much more it can take.

MIT researchers design a robot that has a trick or two up the sleeve.

Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.

The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.